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w&&\"Widget\"===w.type}module.exports=isWidget},{}],21:[function(require,module){module.exports=\"1\"},{}],22:[function(require,module){function VirtualPatch(type,vNode,patch){this.type=Number(type),this.vNode=vNode,this.patch=patch}var version=require(\"./version\");VirtualPatch.NONE=0,VirtualPatch.VTEXT=1,VirtualPatch.VNODE=2,VirtualPatch.WIDGET=3,VirtualPatch.PROPS=4,VirtualPatch.ORDER=5,VirtualPatch.INSERT=6,VirtualPatch.REMOVE=7,VirtualPatch.THUNK=8,module.exports=VirtualPatch,VirtualPatch.prototype.version=version,VirtualPatch.prototype.type=\"VirtualPatch\"},{\"./version\":21}],23:[function(require,module){var patch=require(\"vdom/patch\");module.exports=patch},{\"vdom/patch\":12}],24:[function(require,module){function AttributeHook(value){return this instanceof AttributeHook?void(this.value=value):new AttributeHook(value)}module.exports=AttributeHook,AttributeHook.prototype.hook=function(node,prop,prev){prev&&prev.value===this.value||node.setAttributeNS(null,prop,this.value)}},{}],25:[function(require,module){function DataSetHook(value){return this instanceof DataSetHook?void(this.value=value):new DataSetHook(value)}var DataSet=require(\"data-set\");module.exports=DataSetHook,DataSetHook.prototype.hook=function(node,propertyName){var ds=DataSet(node),propName=propertyName.substr(5);ds[propName]=this.value}},{\"data-set\":30}],26:[function(require,module){function DataSetHook(value){return this instanceof DataSetHook?void(this.value=value):new DataSetHook(value)}var DataSet=require(\"data-set\");module.exports=DataSetHook,DataSetHook.prototype.hook=function(node,propertyName){var ds=DataSet(node),propName=propertyName.substr(3);ds[propName]=this.value}},{\"data-set\":30}],27:[function(require,module){function SoftSetHook(value){return this instanceof SoftSetHook?void(this.value=value):new SoftSetHook(value)}module.exports=SoftSetHook,SoftSetHook.prototype.hook=function(node,propertyName){node[propertyName]!==this.value&&(node[propertyName]=this.value)}},{}],28:[function(require,module){function h(tagName,properties,children){var tag,props,key,namespace,childNodes=[];!children&&isChildren(properties)&&(children=properties,props={}),props=props||properties||{},tag=parseTag(tagName,props),\"key\"in props&&(key=props.key,props.key=void 0),\"namespace\"in props&&(namespace=props.namespace,props.namespace=void 0),\"input\"===tag&&\"value\"in props&&void 0!==props.value&&!isHook(props.value)&&(props.value=softSetHook(props.value));for(var propName,value,keys=Object.keys(props),j=0;j<keys.length;j++)propName=keys[j],value=props[propName],isHook(value)||(\"data-\"===propName.substr(0,5)&&(props[propName]=dataSetHook(value)),\"ev-\"===propName.substr(0,3)&&(props[propName]=evHook(value)));void 0!==children&&null!==children&&addChild(children,childNodes,tag,props);var node=new VNode(tag,props,childNodes,key,namespace);return node}function addChild(c,childNodes,tag,props){if(\"string\"==typeof c)childNodes.push(new VText(c));else if(isChild(c))childNodes.push(c);else{if(!Array.isArray(c)){if(null===c||void 0===c)return;throw UnexpectedVirtualElement({foreignObjectStr:JSON.stringify(c),foreignObject:c,parentVnodeStr:JSON.stringify({tagName:tag,properties:props}),parentVnode:{tagName:tag,properties:props}})}for(var i=0;i<c.length;i++)addChild(c[i],childNodes,tag,props)}}function isChild(x){return isVNode(x)||isVText(x)||isWidget(x)||isVThunk(x)}function isChildren(x){return\"string\"==typeof x||Array.isArray(x)||isChild(x)}var VNode=require(\"vtree/vnode.js\"),VText=require(\"vtree/vtext.js\"),isVNode=require(\"vtree/is-vnode\"),isVText=require(\"vtree/is-vtext\"),isWidget=require(\"vtree/is-widget\"),isHook=require(\"vtree/is-vhook\"),isVThunk=require(\"vtree/is-thunk\"),TypedError=require(\"error/typed\"),parseTag=require(\"./parse-tag.js\"),softSetHook=require(\"./hooks/soft-set-hook.js\"),dataSetHook=require(\"./hooks/data-set-hook.js\"),evHook=require(\"./hooks/ev-hook.js\"),UnexpectedVirtualElement=TypedError({type:\"virtual-hyperscript.unexpected.virtual-element\",message:\"Unexpected virtual child passed to h().\\nExpected a VNode / Vthunk / VWidget / string but:\\ngot a {foreignObjectStr}.\\nThe parent vnode is {parentVnodeStr}.\\nSuggested fix: change your `h(..., [ ... ])` callsite.\",foreignObjectStr:null,parentVnodeStr:null,foreignObject:null,parentVnode:null});module.exports=h},{\"./hooks/data-set-hook.js\":25,\"./hooks/ev-hook.js\":26,\"./hooks/soft-set-hook.js\":27,\"./parse-tag.js\":46,\"error/typed\":37,\"vtree/is-thunk\":38,\"vtree/is-vhook\":39,\"vtree/is-vnode\":40,\"vtree/is-vtext\":41,\"vtree/is-widget\":42,\"vtree/vnode.js\":44,\"vtree/vtext.js\":45}],29:[function(require,module){function createHash(elem){var attributes=elem.attributes,hash={};if(null===attributes||void 0===attributes)return hash;for(var i=0;i<attributes.length;i++){var attr=attributes[i];\"data-\"===attr.name.substr(0,5)&&(hash[attr.name.substr(5)]=attr.value)}return hash}module.exports=createHash},{}],30:[function(require,module){function DataSet(elem){var store=hashStore(elem);return store.hash||(store.hash=createHash(elem)),store.hash}var createStore=require(\"weakmap-shim/create-store\"),Individual=require(\"individual\"),createHash=require(\"./create-hash.js\"),hashStore=Individual(\"__DATA_SET_WEAKMAP@3\",createStore());module.exports=DataSet},{\"./create-hash.js\":29,individual:31,\"weakmap-shim/create-store\":32}],31:[function(require,module){(function(global){function Individual(key,value){return root[key]?root[key]:(Object.defineProperty(root,key,{value:value,configurable:!0}),value)}var root=\"undefined\"!=typeof window?window:\"undefined\"!=typeof global?global:{};module.exports=Individual}).call(this,\"undefined\"!=typeof global?global:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{}],32:[function(require,module){function createStore(){var key={};return function(obj){if(\"object\"!=typeof obj||null===obj)throw new Error(\"Weakmap-shim: Key must be object\");var store=obj.valueOf(key);return store&&store.identity===key?store:hiddenStore(obj,key)}}var hiddenStore=require(\"./hidden-store.js\");module.exports=createStore},{\"./hidden-store.js\":33}],33:[function(require,module){function hiddenStore(obj,key){var store={identity:key},valueOf=obj.valueOf;return Object.defineProperty(obj,\"valueOf\",{value:function(value){return value!==key?valueOf.apply(this,arguments):store},writable:!0}),store}module.exports=hiddenStore},{}],34:[function(require,module){function walk(obj){return obj&&\"object\"==typeof obj?isDate(obj)||isRegex(obj)?obj:isArray(obj)?map(obj,walk):reduce(objectKeys(obj),function(acc,key){var camel=camelCase(key);return acc[camel]=walk(obj[key]),acc},{}):obj}function camelCase(str){return str.replace(/[_.-](\\w|$)/g,function(_,x){return x.toUpperCase()})}function map(xs,f){if(xs.map)return xs.map(f);for(var res=[],i=0;i<xs.length;i++)res.push(f(xs[i],i));return res}function reduce(xs,f,acc){if(xs.reduce)return xs.reduce(f,acc);for(var i=0;i<xs.length;i++)acc=f(acc,xs[i],i);return acc}module.exports=function(obj){return\"string\"==typeof obj?camelCase(obj):walk(obj)};var isArray=Array.isArray||function(obj){return\"[object Array]\"===Object.prototype.toString.call(obj)},isDate=function(obj){return\"[object Date]\"===Object.prototype.toString.call(obj)},isRegex=function(obj){return\"[object RegExp]\"===Object.prototype.toString.call(obj)},has=Object.prototype.hasOwnProperty,objectKeys=Object.keys||function(obj){var keys=[];for(var key in obj)has.call(obj,key)&&keys.push(key);return keys}},{}],35:[function(require,module){function template(string){var args;return args=2===arguments.length&&\"object\"==typeof arguments[1]?arguments[1]:slice.call(arguments,1),args&&args.hasOwnProperty||(args={}),string.replace(nargs,function(match,i,index){var result;return\"{\"===string[index-1]&&\"}\"===string[index+match.length]?i:(result=args.hasOwnProperty(i)?args[i]:null,null===result||void 0===result?\"\":result)})}var nargs=/\\{([0-9a-zA-Z]+)\\}/g,slice=Array.prototype.slice;module.exports=template},{}],36:[function(require,module){function extend(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source)source.hasOwnProperty(key)&&(target[key]=source[key])}return target}module.exports=extend},{}],37:[function(require,module){function TypedError(args){function createError(opts){var result=new Error;Object.defineProperty(result,\"type\",{value:result.type,enumerable:!0,writable:!0,configurable:!0});var options=extend({},args,opts);return extend(result,options),result.message=template(message,options),result}if(!args)throw new Error(\"args is required\");if(!args.type)throw new Error(\"args.type is required\");if(!args.message)throw new Error(\"args.message is required\");var message=args.message;if(args.type&&!args.name){var errorName=camelize(args.type)+\"Error\";args.name=errorName[0].toUpperCase()+errorName.substr(1)}return createError.type=args.type,createError._name=args.name,createError}var camelize=require(\"camelize\"),template=require(\"string-template\"),extend=require(\"xtend/mutable\");module.exports=TypedError},{camelize:34,\"string-template\":35,\"xtend/mutable\":36}],38:[function(require,module){module.exports=require(16)},{\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-thunk.js\":16}],39:[function(require,module){module.exports=require(17)},{\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-vhook.js\":17}],40:[function(require,module){module.exports=require(18)},{\"./version\":43,\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-vnode.js\":18}],41:[function(require,module){module.exports=require(19)},{\"./version\":43,\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-vtext.js\":19}],42:[function(require,module){module.exports=require(20)},{\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-widget.js\":20}],43:[function(require,module){module.exports=require(21)},{\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/version.js\":21}],44:[function(require,module){function VirtualNode(tagName,properties,children,key,namespace){this.tagName=tagName,this.properties=properties||noProperties,this.children=children||noChildren,this.key=null!=key?String(key):void 0,this.namespace=\"string\"==typeof namespace?namespace:null;var hooks,count=children&&children.length||0,descendants=0,hasWidgets=!1,descendantHooks=!1;for(var propName in properties)if(properties.hasOwnProperty(propName)){var property=properties[propName];isVHook(property)&&(hooks||(hooks={}),hooks[propName]=property)}for(var i=0;count>i;i++){var child=children[i];isVNode(child)?(descendants+=child.count||0,!hasWidgets&&child.hasWidgets&&(hasWidgets=!0),descendantHooks||!child.hooks&&!child.descendantHooks||(descendantHooks=!0)):!hasWidgets&&isWidget(child)&&\"function\"==typeof child.destroy&&(hasWidgets=!0)}this.count=count+descendants,this.hasWidgets=hasWidgets,this.hooks=hooks,this.descendantHooks=descendantHooks\n",
        "}var version=require(\"./version\"),isVNode=require(\"./is-vnode\"),isWidget=require(\"./is-widget\"),isVHook=require(\"./is-vhook\");module.exports=VirtualNode;var noProperties={},noChildren=[];VirtualNode.prototype.version=version,VirtualNode.prototype.type=\"VirtualNode\"},{\"./is-vhook\":39,\"./is-vnode\":40,\"./is-widget\":42,\"./version\":43}],45:[function(require,module){function VirtualText(text){this.text=String(text)}var version=require(\"./version\");module.exports=VirtualText,VirtualText.prototype.version=version,VirtualText.prototype.type=\"VirtualText\"},{\"./version\":43}],46:[function(require,module){function parseTag(tag,props){if(!tag)return\"div\";var noId=!(\"id\"in props),tagParts=tag.split(classIdSplit),tagName=null;notClassId.test(tagParts[1])&&(tagName=\"div\");var classes,part,type,i;for(i=0;i<tagParts.length;i++)part=tagParts[i],part&&(type=part.charAt(0),tagName?\".\"===type?(classes=classes||[],classes.push(part.substring(1,part.length))):\"#\"===type&&noId&&(props.id=part.substring(1,part.length)):tagName=part);return classes&&(props.className&&classes.push(props.className),props.className=classes.join(\" \")),tagName?tagName.toLowerCase():\"div\"}var classIdSplit=/([\\.#]?[a-zA-Z0-9_:-]+)/,notClassId=/^\\.|#/;module.exports=parseTag},{}],47:[function(require,module){function svg(tagName,properties,children){!children&&isChildren(properties)&&(children=properties,properties={}),properties=properties||{},properties.namespace=SVG_NAMESPACE;for(var key in properties)if(properties.hasOwnProperty(key)&&!BLACKLISTED_KEYS[key]){var value=properties[key];(\"string\"==typeof value||\"number\"==typeof value||\"boolean\"==typeof value)&&(properties[key]=attributeHook(value))}return h(tagName,properties,children)}function isChildren(x){return\"string\"==typeof x||Array.isArray(x)}var attributeHook=require(\"./hooks/attribute-hook.js\"),h=require(\"./index.js\"),BLACKLISTED_KEYS={style:!0,namespace:!0,key:!0},SVG_NAMESPACE=\"http://www.w3.org/2000/svg\";module.exports=svg},{\"./hooks/attribute-hook.js\":24,\"./index.js\":28}],48:[function(require,module){module.exports=require(17)},{\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-vhook.js\":17}],49:[function(require,module){module.exports=require(18)},{\"./version\":51,\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-vnode.js\":18}],50:[function(require,module){module.exports=require(20)},{\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/is-widget.js\":20}],51:[function(require,module){module.exports=require(21)},{\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/version.js\":21}],52:[function(require,module){module.exports=require(44)},{\"./is-vhook\":48,\"./is-vnode\":49,\"./is-widget\":50,\"./version\":51,\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-hyperscript/node_modules/vtree/vnode.js\":44}],53:[function(require,module){module.exports=require(22)},{\"./version\":51,\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-dom/node_modules/vtree/vpatch.js\":22}],54:[function(require,module){module.exports=require(45)},{\"./version\":51,\"/home/shashi/.julia/v0.3/Patchwork/runtime/node_modules/virtual-hyperscript/node_modules/vtree/vtext.js\":45}],55:[function(require,module){function isArray(obj){return\"[object Array]\"===toString.call(obj)}var nativeIsArray=Array.isArray,toString=Object.prototype.toString;module.exports=nativeIsArray||isArray},{}],56:[function(require,module){function reorder(array,moves){if(arr){for(var copy=array.slice(0),i=0,l=array.length;l>i;i++){var move=moves[i];void 0!==move&&(array[move]=copy[i])}return array}}function patchObject(obj,patch){for(var key in patch)obj[key]=isObject(patch[key])&&isObject(obj[key])?patchObject(obj[key],patch[key]):patch[key]}isObject=require(\"is-object\"),module.exports={reorder:reorder,patchObject:patchObject}},{\"is-object\":4}],57:[function(require,module){function patchVNode(root,patches){linkParents(root);for(var key in patches)if(\"a\"!==key)if(patch=patches[key],isArray(patch))for(var i=0,l=patch.length;l>i;i++)mutateNode(patch[i].type,patch[i].vNode,patch[i].patch);else mutateNode(patch.type,patch.vNode,patch.patch);return root}function linkParents(vNode){if(vNode&&vNode.children)for(var children=vNode.children,i=0,l=children.length;l>i;i++)children[i].up=vNode,linkParents(children[i])}var mutateNode=require(\"./vnode-patch-op\"),isArray=require(\"x-is-array\");module.exports=patchVNode},{\"./vnode-patch-op\":58,\"x-is-array\":55}],58:[function(require,module){function applyPatch(type,vNode,patch){switch(type){case VPatch.REMOVE:return removeNode(vNode);case VPatch.INSERT:return insertNode(vNode,patch);case VPatch.VTEXT:return stringPatch(vNode,patch);case VPatch.VNODE:return vNodePatch(vNode,patch);case VPatch.ORDER:return patchUtil.reorder(vNode.children,patch),vNode;case VPatch.PROPS:return patchUtil.patchObject(vNode.properties,patch),vNode;default:return vNode}}function offsetCount(node,count){node&&(void 0!==node.count?(node.count=node.count+count,offsetCount(node.up,count)):node.count=count)}function removeNode(node){if(node){var up=(node.count,node.up),idx=up.children.indexOf(node);return idx>-1&&(up.children.splice(idx,1),offsetCount(up,-node.count-1)),delete node,null}}function insertNode(node,child){return node.children.push(child),offsetCount(node,child.count+1),child.up=node,node}function stringPatch(node,patch){return node.text=patch.text,node}function vNodePatch(node,patch){var up=node.up,idx=up.children.indexOf(node),count=patch.count||0;return idx>-1&&(up.children[idx]=patch,node.count!=count&&offsetCount(up,count-node.count)),node}var VPatch=(require(\"vtree/is-widget\"),require(\"vtree/vpatch\")),patchUtil=require(\"./patch-util.js\");module.exports=applyPatch},{\"./patch-util.js\":56,\"vtree/is-widget\":50,\"vtree/vpatch\":53}],59:[function(){},{}]},{},[1]);</script>"
       ],
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The following examples are based loosely on the examples in [geopandas](https://github.com/geopandas/geopandas):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "p1 = parseWKT(\"POLYGON((0 0,1 0,1 1,0 0))\")\n",
      "p2 = parseWKT(\"POLYGON((0 0,1 0,1 1,0 1,0 0))\")\n",
      "p3 = parseWKT(\"POLYGON((2 0,3 0,3 1,2 1,2 0))\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "Polygon(Ptr{Ptr{None}} @0x00007fc2d7a12c08)"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Compose and Color"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "using Compose, Gadfly, Color"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "colors = Color.colormap(\"Greens\", 3)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "svg": [
        "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
        "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
        " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
        "<svg xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\"\n",
        "     width=\"45.0mm\" height=\"25.0mm\"\n",
        "     shape-rendering=\"crispEdges\">\n",
        "<rect x=\"0.0mm\" y=\"0.0mm\"\n",
        "      width=\"14.0mm\" height=\"25.0mm\"\n",
        "      fill=\"#FAFFF7\" stroke=\"none\" />\n",
        "<rect x=\"15.0mm\" y=\"0.0mm\"\n",
        "      width=\"14.0mm\" height=\"25.0mm\"\n",
        "      fill=\"#74C859\" stroke=\"none\" />\n",
        "<rect x=\"30.0mm\" y=\"0.0mm\"\n",
        "      width=\"14.0mm\" height=\"25.0mm\"\n",
        "      fill=\"#003918\" stroke=\"none\" />\n",
        "</svg>"
       ],
       "text": [
        "3-element Array{RGB{Float64},1}:\n",
        " RGB{Float64}(0.9796622613906486,1.0,0.9689301766277815)              \n",
        " RGB{Float64}(0.45654602300986485,0.7824998918792759,0.34822928024122)\n",
        " RGB{Float64}(0.0,0.22527249691297085,0.09593702914146751)            "
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot(x=[-0.5,3.5],y=[-0.5,1.5], Geom.point,\n",
      "     Guide.annotation(compose(context(),GeoInterface.composeform(p1),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[1]))),\n",
      "     Guide.annotation(compose(context(),GeoInterface.composeform(p3),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[2]))),\n",
      "     Guide.annotation(compose(context(),GeoInterface.composeform(p2),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[3]))))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
        "<svg xmlns=\"http://www.w3.org/2000/svg\"\n",
        "     xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "     xmlns:gadfly=\"http://www.gadflyjl.org/ns\"\n",
        "     version=\"1.2\"\n",
        "     width=\"141.42mm\" height=\"100mm\" viewBox=\"0 0 141.42 100\"\n",
        "     stroke=\"none\"\n",
        "     fill=\"#000000\"\n",
        "     stroke-width=\"0.3\"\n",
        "     font-size=\"3.88\"\n",
        "\n",
        "     id=\"fig-49a3da342ed64cfab1456a9f9add90b5\">\n",
        "<g class=\"plotroot xscalable yscalable\" id=\"fig-49a3da342ed64cfab1456a9f9add90b5-element-1\">\n",
        "  <g font-size=\"3.88\" font-family=\"'PT Sans','Helvetica Neue','Helvetica',sans-serif\" fill=\"#564A55\" stroke=\"#000000\" stroke-opacity=\"0.000\" id=\"fig-49a3da342ed64cfab1456a9f9add90b5-element-2\">\n",
        "    <text x=\"77.18\" y=\"92\" text-anchor=\"middle\">x</text>\n",
        "  </g>\n",
        "  <g class=\"guide xlabels\" font-size=\"2.82\" font-family=\"'PT Sans Caption','Helvetica Neue','Helvetica',sans-serif\" fill=\"#6C606B\" id=\"fig-49a3da342ed64cfab1456a9f9add90b5-element-3\">\n",
        "    <text x=\"-117.44\" y=\"84.39\" text-anchor=\"middle\" visibility=\"hidden\" gadfly:scale=\"1.0\">-7</text>\n",
        "    <text x=\"-94.54\" y=\"84.39\" text-anchor=\"middle\" visibility=\"hidden\" gadfly:scale=\"1.0\">-6</text>\n",
        "    <text x=\"-71.65\" y=\"84.39\" text-anchor=\"middle\" visibility=\"hidden\" gadfly:scale=\"1.0\">-5</text>\n",
        "    <text x=\"-48.75\" y=\"84.39\" text-anchor=\"middle\" visibility=\"hidden\" gadfly:scale=\"1.0\">-4</text>\n",
        "    <text x=\"-25.85\" y=\"84.39\" text-anchor=\"middle\" visibility=\"hidden\" gadfly:scale=\"1.0\">-3</text>\n",
        "    <text x=\"-2.96\" y=\"84.39\" text-anchor=\"middle\" visibility=\"hidden\" gadfly:scale=\"1.0\">-2</text>\n",
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        "this._drag.y=w;this._drag.id=r.identifier;!q.length&&a.mousemove(e).mouseup(l);q.push({el:this,move_scope:h,start_scope:n,end_scope:p});d&&k.on(\"snap.drag.start.\"+this.id,d);b&&k.on(\"snap.drag.move.\"+this.id,b);f&&k.on(\"snap.drag.end.\"+this.id,f);k(\"snap.drag.start.\"+this.id,n||h||this,v,w,r)}if(!arguments.length){var v;return this.drag(function(a,b){this.attr({transform:v+(v?\"T\":\"t\")+[a,b]})},function(){v=this.transform().local})}this._drag={};r.push({el:this,start:u});this.mousedown(u);return this};\n",
        "A.undrag=function(){for(var b=r.length;b--;)r[b].el==this&&(this.unmousedown(r[b].start),r.splice(b,1),k.unbind(\"snap.drag.*.\"+this.id));!r.length&&a.unmousemove(e).unmouseup(l);return this}});C.plugin(function(a,v,y,C){y=y.prototype;var A=/^\\s*url\\((.+)\\)/,w=String,z=a._.$;a.filter={};y.filter=function(d){var f=this;\"svg\"!=f.type&&(f=f.paper);d=a.parse(w(d));var k=a._.id(),u=z(\"filter\");z(u,{id:k,filterUnits:\"userSpaceOnUse\"});u.appendChild(d.node);f.defs.appendChild(u);return new v(u)};k.on(\"snap.util.getattr.filter\",\n",
        "function(){k.stop();var d=z(this.node,\"filter\");if(d)return(d=w(d).match(A))&&a.select(d[1])});k.on(\"snap.util.attr.filter\",function(d){if(d instanceof v&&\"filter\"==d.type){k.stop();var f=d.node.id;f||(z(d.node,{id:d.id}),f=d.id);z(this.node,{filter:a.url(f)})}d&&\"none\"!=d||(k.stop(),this.node.removeAttribute(\"filter\"))});a.filter.blur=function(d,f){null==d&&(d=2);return a.format('<feGaussianBlur stdDeviation=\"{def}\"/>',{def:null==f?d:[d,f]})};a.filter.blur.toString=function(){return this()};a.filter.shadow=\n",
        "function(d,f,k,u,p){\"string\"==typeof k&&(p=u=k,k=4);\"string\"!=typeof u&&(p=u,u=\"#000\");null==k&&(k=4);null==p&&(p=1);null==d&&(d=0,f=2);null==f&&(f=d);u=a.color(u||\"#000\");return a.format('<feGaussianBlur in=\"SourceAlpha\" stdDeviation=\"{blur}\"/><feOffset dx=\"{dx}\" dy=\"{dy}\" result=\"offsetblur\"/><feFlood flood-color=\"{color}\"/><feComposite in2=\"offsetblur\" operator=\"in\"/><feComponentTransfer><feFuncA type=\"linear\" slope=\"{opacity}\"/></feComponentTransfer><feMerge><feMergeNode/><feMergeNode in=\"SourceGraphic\"/></feMerge>',\n",
        "{color:u,dx:d,dy:f,blur:k,opacity:p})};a.filter.shadow.toString=function(){return this()};a.filter.grayscale=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {b} {h} 0 0 0 0 0 1 0\"/>',{a:0.2126+0.7874*(1-d),b:0.7152-0.7152*(1-d),c:0.0722-0.0722*(1-d),d:0.2126-0.2126*(1-d),e:0.7152+0.2848*(1-d),f:0.0722-0.0722*(1-d),g:0.2126-0.2126*(1-d),h:0.0722+0.9278*(1-d)})};a.filter.grayscale.toString=function(){return this()};a.filter.sepia=\n",
        "function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"matrix\" values=\"{a} {b} {c} 0 0 {d} {e} {f} 0 0 {g} {h} {i} 0 0 0 0 0 1 0\"/>',{a:0.393+0.607*(1-d),b:0.769-0.769*(1-d),c:0.189-0.189*(1-d),d:0.349-0.349*(1-d),e:0.686+0.314*(1-d),f:0.168-0.168*(1-d),g:0.272-0.272*(1-d),h:0.534-0.534*(1-d),i:0.131+0.869*(1-d)})};a.filter.sepia.toString=function(){return this()};a.filter.saturate=function(d){null==d&&(d=1);return a.format('<feColorMatrix type=\"saturate\" values=\"{amount}\"/>',{amount:1-\n",
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        "amount2:1-d})};a.filter.invert.toString=function(){return this()};a.filter.brightness=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\"/><feFuncG type=\"linear\" slope=\"{amount}\"/><feFuncB type=\"linear\" slope=\"{amount}\"/></feComponentTransfer>',{amount:d})};a.filter.brightness.toString=function(){return this()};a.filter.contrast=function(d){null==d&&(d=1);return a.format('<feComponentTransfer><feFuncR type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncG type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/><feFuncB type=\"linear\" slope=\"{amount}\" intercept=\"{amount2}\"/></feComponentTransfer>',\n",
        "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
        "\n",
        "]]> </script>\n",
        "<script> <![CDATA[\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "    if (typeof define === \"function\" && define.amd) {\n",
        "        // Define as an anonymous module\n",
        "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
        "            return factory(Snap);\n",
        "        });\n",
        "    } else {\n",
        "        // Browser globals (glob is window)\n",
        "        // Snap adds itself to window\n",
        "        glob.Gadfly = factory(glob.Snap);\n",
        "    }\n",
        "}(this, function (Snap) {\n",
        "\n",
        "var Gadfly = {};\n",
        "\n",
        "// Get an x/y coordinate value in pixels\n",
        "var xPX = function(fig, x) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
        "};\n",
        "\n",
        "var yPX = function(fig, y) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
        "};\n",
        "\n",
        "\n",
        "Snap.plugin(function (Snap, Element, Paper, global) {\n",
        "    // Traverse upwards from a snap element to find and return the first\n",
        "    // note with the \"plotroot\" class.\n",
        "    Element.prototype.plotroot = function () {\n",
        "        var element = this;\n",
        "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.svgroot = function () {\n",
        "        var element = this;\n",
        "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotbounds = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x0: bbox.x,\n",
        "            x1: bbox.x + bbox.width,\n",
        "            y0: bbox.y,\n",
        "            y1: bbox.y + bbox.height\n",
        "        };\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotcenter = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x: bbox.x + bbox.width / 2,\n",
        "            y: bbox.y + bbox.height / 2\n",
        "        };\n",
        "    };\n",
        "\n",
        "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
        "    // does everything right.\n",
        "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
        "    var events = [\"mouseenter\", \"mouseleave\"];\n",
        "\n",
        "    for (i in events) {\n",
        "        (function (event_name) {\n",
        "            var event_name = events[i];\n",
        "            Element.prototype[event_name] = function (fn, scope) {\n",
        "                if (Snap.is(fn, \"function\")) {\n",
        "                    var fn2 = function (event) {\n",
        "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
        "                            return;\n",
        "                        }\n",
        "\n",
        "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
        "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
        "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
        "\n",
        "                        if (reltg != this.node) {\n",
        "                            return fn.apply(this, event);\n",
        "                        }\n",
        "                    };\n",
        "\n",
        "                    if (event_name == \"mouseenter\") {\n",
        "                        this.mouseover(fn2, scope);\n",
        "                    } else {\n",
        "                        this.mouseout(fn2, scope);\n",
        "                    }\n",
        "                }\n",
        "                return this;\n",
        "            };\n",
        "        })(events[i]);\n",
        "    }\n",
        "\n",
        "\n",
        "    Element.prototype.mousewheel = function (fn, scope) {\n",
        "        if (Snap.is(fn, \"function\")) {\n",
        "            var el = this;\n",
        "            var fn2 = function (event) {\n",
        "                fn.apply(el, [event]);\n",
        "            };\n",
        "        }\n",
        "\n",
        "        this.node.addEventListener(\n",
        "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
        "            fn2);\n",
        "\n",
        "        return this;\n",
        "    };\n",
        "\n",
        "\n",
        "    // Snap's attr function can be too slow for things like panning/zooming.\n",
        "    // This is a function to directly update element attributes without going\n",
        "    // through eve.\n",
        "    Element.prototype.attribute = function(key, val) {\n",
        "        if (val === undefined) {\n",
        "            return this.node.getAttribute(key, val);\n",
        "        } else {\n",
        "            return this.node.setAttribute(key, val);\n",
        "        }\n",
        "    };\n",
        "});\n",
        "\n",
        "\n",
        "// When the plot is moused over, emphasize the grid lines.\n",
        "Gadfly.plot_mouseover = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    xgridlines.data(\"unfocused_strokedash\",\n",
        "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "    ygridlines.data(\"unfocused_strokedash\",\n",
        "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "\n",
        "    // emphasize grid lines\n",
        "    var destcolor = root.data(\"focused_xgrid_color\");\n",
        "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"focused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // reveal zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 1.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "// Unemphasize grid lines on mouse out.\n",
        "Gadfly.plot_mouseout = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
        "\n",
        "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // hide zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 0.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "var set_geometry_transform = function(root, tx, ty, scale) {\n",
        "    var xscalable = root.hasClass(\"xscalable\"),\n",
        "        yscalable = root.hasClass(\"yscalable\");\n",
        "\n",
        "    var old_scale = root.data(\"scale\");\n",
        "\n",
        "    var xscale = xscalable ? scale : 1.0,\n",
        "        yscale = yscalable ? scale : 1.0;\n",
        "\n",
        "    tx = xscalable ? tx : 0.0;\n",
        "    ty = yscalable ? ty : 0.0;\n",
        "\n",
        "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
        "\n",
        "    root.selectAll(\".geometry, image\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.transform(t);\n",
        "        });\n",
        "\n",
        "    bounds = root.plotbounds();\n",
        "\n",
        "    if (yscalable) {\n",
        "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
        "        root.selectAll(\".xfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(xfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".ylabels\")\n",
        "            .transform(xfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var y = cy * scale + ty;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (xscalable) {\n",
        "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
        "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
        "        root.selectAll(\".yfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(yfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".xlabels\")\n",
        "            .transform(yfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
        "\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var x = cx * scale + tx;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
        "                    }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
        "    var size_attribs = [\"font-size\"];\n",
        "    var unscaled_selection = \".geometry, .geometry *\";\n",
        "    if (xscalable) {\n",
        "        size_attribs.push(\"rx\");\n",
        "        unscaled_selection += \", .xgridlines\";\n",
        "    }\n",
        "    if (yscalable) {\n",
        "        size_attribs.push(\"ry\");\n",
        "        unscaled_selection += \", .ygridlines\";\n",
        "    }\n",
        "\n",
        "    root.selectAll(unscaled_selection)\n",
        "        .forEach(function (element, i) {\n",
        "            // circle need special help\n",
        "            if (element.node.nodeName == \"circle\") {\n",
        "                var cx = element.attribute(\"cx\"),\n",
        "                    cy = element.attribute(\"cy\");\n",
        "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
        "                                                        cx, cy);\n",
        "                element.transform(unscale_t);\n",
        "                return;\n",
        "            }\n",
        "\n",
        "            for (i in size_attribs) {\n",
        "                var key = size_attribs[i];\n",
        "                var val = parseFloat(element.attribute(key));\n",
        "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
        "                    element.attribute(key, val * old_scale / scale);\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "};\n",
        "\n",
        "\n",
        "// Find the most appropriate tick scale and update label visibility.\n",
        "var update_tickscale = function(root, scale, axis) {\n",
        "    if (!root.hasClass(axis + \"scalable\")) return;\n",
        "\n",
        "    var tickscales = root.data(axis + \"tickscales\");\n",
        "    var best_tickscale = 1.0;\n",
        "    var best_tickscale_dist = Infinity;\n",
        "    for (tickscale in tickscales) {\n",
        "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
        "        if (dist < best_tickscale_dist) {\n",
        "            best_tickscale_dist = dist;\n",
        "            best_tickscale = tickscale;\n",
        "        }\n",
        "    }\n",
        "\n",
        "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
        "        root.data(axis + \"tickscale\", best_tickscale);\n",
        "        var mark_inscale_gridlines = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        var mark_inscale_labels = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
        "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
        "    var old_scale = root.data(\"scale\");\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    // compute the viewport derived from tx, ty, and scale\n",
        "    var x_min = -width * scale - (scale * width - width),\n",
        "        x_max = width * scale,\n",
        "        y_min = -height * scale - (scale * height - height),\n",
        "        y_max = height * scale;\n",
        "\n",
        "    var x0 = bounds.x0 - scale * bounds.x0,\n",
        "        y0 = bounds.y0 - scale * bounds.y0;\n",
        "\n",
        "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
        "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
        "\n",
        "    tx += x0;\n",
        "    ty += y0;\n",
        "\n",
        "    // when the scale change, we may need to alter which set of\n",
        "    // ticks is being displayed\n",
        "    if (scale != old_scale) {\n",
        "        update_tickscale(root, scale, \"x\");\n",
        "        update_tickscale(root, scale, \"y\");\n",
        "    }\n",
        "\n",
        "    set_geometry_transform(root, tx, ty, scale);\n",
        "\n",
        "    root.data(\"scale\", scale);\n",
        "    root.data(\"tx\", tx);\n",
        "    root.data(\"ty\", ty);\n",
        "};\n",
        "\n",
        "\n",
        "var scale_centered_translation = function(root, scale) {\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var scale0 = root.data(\"scale\");\n",
        "\n",
        "    // how off from center the current view is\n",
        "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
        "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
        "\n",
        "    // rescale offsets\n",
        "    xoff = xoff * scale / scale0;\n",
        "    yoff = yoff * scale / scale0;\n",
        "\n",
        "    // adjust for the panel position being scaled\n",
        "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
        "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
        "\n",
        "    return {\n",
        "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
        "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
        "    };\n",
        "};\n",
        "\n",
        "\n",
        "// Initialize data for panning zooming if it isn't already.\n",
        "var init_pan_zoom = function(root) {\n",
        "    if (root.data(\"zoompan-ready\")) {\n",
        "        return;\n",
        "    }\n",
        "\n",
        "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
        "    // stroke-width when zooming, we force it to a fixed value.\n",
        "    var px_per_mm = root.node.getCTM().a;\n",
        "\n",
        "    // Drag events report deltas in pixels, which we'd like to convert to\n",
        "    // millimeters.\n",
        "    root.data(\"px_per_mm\", px_per_mm);\n",
        "\n",
        "    root.selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
        "        if (sw > 0) {\n",
        "            element.attribute(\"stroke-width\", sw);\n",
        "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
        "        }\n",
        "    });\n",
        "\n",
        "    // Store ticks labels original tranformation\n",
        "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
        "        .forEach(function (element, i) {\n",
        "            var lm = element.transform().localMatrix;\n",
        "            element.data(\"static_transform\",\n",
        "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
        "        });\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\");\n",
        "    var ygridlines = root.select(\".ygridlines\");\n",
        "    var xlabels = root.select(\".xlabels\");\n",
        "    var ylabels = root.select(\".ylabels\");\n",
        "\n",
        "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
        "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
        "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
        "    if (root.data(\"xtickscales\") === undefined) {\n",
        "\n",
        "        // index all the tick scales that are listed\n",
        "        var xtickscales = {};\n",
        "        var ytickscales = {};\n",
        "        var add_x_tick_scales = function (element, i) {\n",
        "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "        var add_y_tick_scales = function (element, i) {\n",
        "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "\n",
        "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
        "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
        "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
        "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
        "\n",
        "        root.data(\"xtickscales\", xtickscales);\n",
        "        root.data(\"ytickscales\", ytickscales);\n",
        "        root.data(\"xtickscale\", 1.0);\n",
        "    }\n",
        "\n",
        "    var min_scale = 1.0, max_scale = 1.0;\n",
        "    for (scale in xtickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    for (scale in ytickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    root.data(\"min_scale\", min_scale);\n",
        "    root.data(\"max_scale\", max_scale);\n",
        "\n",
        "    // store the original positions of labels\n",
        "    if (xlabels) {\n",
        "        xlabels.selectAll(\"text\")\n",
        "               .forEach(function (element, i) {\n",
        "                   element.data(\"x\", element.asPX(\"x\"));\n",
        "               });\n",
        "    }\n",
        "\n",
        "    if (ylabels) {\n",
        "        ylabels.selectAll(\"text\")\n",
        "               .forEach(function (element, i) {\n",
        "                   element.data(\"y\", element.asPX(\"y\"));\n",
        "               });\n",
        "    }\n",
        "\n",
        "    // mark grid lines and ticks as in or out of scale.\n",
        "    var mark_inscale = function (element, i) {\n",
        "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
        "    };\n",
        "\n",
        "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
        "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
        "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
        "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
        "\n",
        "    // figure out the upper ond lower bounds on panning using the maximum\n",
        "    // and minum grid lines\n",
        "    var bounds = root.plotbounds();\n",
        "    var pan_bounds = {\n",
        "        x0: 0.0,\n",
        "        y0: 0.0,\n",
        "        x1: 0.0,\n",
        "        y1: 0.0\n",
        "    };\n",
        "\n",
        "    if (xgridlines) {\n",
        "        xgridlines\n",
        "            .selectAll(\"path\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var bbox = element.node.getBBox();\n",
        "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
        "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
        "                    }\n",
        "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
        "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
        "                    }\n",
        "                    element.attr(\"visibility\", \"visible\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (ygridlines) {\n",
        "        ygridlines\n",
        "            .selectAll(\"path\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var bbox = element.node.getBBox();\n",
        "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
        "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
        "                    }\n",
        "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
        "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
        "                    }\n",
        "                    element.attr(\"visibility\", \"visible\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // nudge these values a little\n",
        "    pan_bounds.x0 -= 5;\n",
        "    pan_bounds.x1 += 5;\n",
        "    pan_bounds.y0 -= 5;\n",
        "    pan_bounds.y1 += 5;\n",
        "    root.data(\"pan_bounds\", pan_bounds);\n",
        "\n",
        "    root.data(\"zoompan-ready\", true)\n",
        "};\n",
        "\n",
        "\n",
        "// Panning\n",
        "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var dx0 = root.data(\"dx\"),\n",
        "        dy0 = root.data(\"dy\");\n",
        "\n",
        "    root.data(\"dx\", dx);\n",
        "    root.data(\"dy\", dy);\n",
        "\n",
        "    dx = dx - dx0;\n",
        "    dy = dy - dy0;\n",
        "\n",
        "    var tx = tx0 + dx,\n",
        "        ty = ty0 + dy;\n",
        "\n",
        "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    root.data(\"dx\", 0);\n",
        "    root.data(\"dy\", 0);\n",
        "    init_pan_zoom(root);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onend = function(event) {\n",
        "    var root = this.plotroot();\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_scroll = function(event) {\n",
        "    if (event.shiftKey) {\n",
        "        var root = this.plotroot();\n",
        "        init_pan_zoom(root);\n",
        "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
        "        new_scale = Math.max(\n",
        "            root.data(\"min_scale\"),\n",
        "            Math.min(root.data(\"max_scale\"), new_scale))\n",
        "        update_plot_scale(root, new_scale);\n",
        "        event.stopPropagation();\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseover = function(event) {\n",
        "    this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseout = function(event) {\n",
        "     this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomout_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var min_scale = root.data(\"min_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.max(min_scale, scale / 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomin_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var max_scale = root.data(\"max_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.min(max_scale, scale * 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_track_click = function(event) {\n",
        "    // TODO\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
        "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
        "    if (scale >= 1.0) {\n",
        "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
        "    }\n",
        "}\n",
        "\n",
        "\n",
        "var update_plot_scale = function(root, new_scale) {\n",
        "    var trans = scale_centered_translation(root, new_scale);\n",
        "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
        "\n",
        "    root.selectAll(\".zoomslider_thumb\")\n",
        "        .forEach(function (element, i) {\n",
        "            var min_pos = element.data(\"min_pos\"),\n",
        "                max_pos = element.data(\"max_pos\"),\n",
        "                min_scale = root.data(\"min_scale\"),\n",
        "                max_scale = root.data(\"max_scale\");\n",
        "            var xmid = (min_pos + max_pos) / 2;\n",
        "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
        "            element.transform(new Snap.Matrix().translate(\n",
        "                Math.max(min_pos, Math.min(\n",
        "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
        "    });\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
        "    var root = this.plotroot();\n",
        "    var min_pos = this.data(\"min_pos\"),\n",
        "        max_pos = this.data(\"max_pos\"),\n",
        "        min_scale = root.data(\"min_scale\"),\n",
        "        max_scale = root.data(\"max_scale\"),\n",
        "        old_scale = root.data(\"old_scale\");\n",
        "\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var xmid = (min_pos + max_pos) / 2;\n",
        "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
        "                   dx / (max_pos - min_pos);\n",
        "\n",
        "    // compute the new scale\n",
        "    var new_scale;\n",
        "    if (xpos >= 0.5) {\n",
        "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
        "                        Math.log(min_scale));\n",
        "    }\n",
        "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
        "\n",
        "    update_plot_scale(root, new_scale);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    // keep track of what the scale was when we started dragging\n",
        "    root.data(\"old_scale\", root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
        "};\n",
        "\n",
        "\n",
        "var toggle_color_class = function(root, color_class, ison) {\n",
        "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
        "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
        "    if (ison) {\n",
        "        guides.animate({opacity: 0.5}, 250);\n",
        "        geoms.animate({opacity: 0.0}, 250);\n",
        "    } else {\n",
        "        guides.animate({opacity: 1.0}, 250);\n",
        "        geoms.animate({opacity: 1.0}, 250);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.colorkey_swatch_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var color_class = this.data(\"color_class\");\n",
        "\n",
        "    if (event.shiftKey) {\n",
        "        root.selectAll(\".colorkey text\")\n",
        "            .forEach(function (element) {\n",
        "                var other_color_class = element.data(\"color_class\");\n",
        "                if (other_color_class != color_class) {\n",
        "                    toggle_color_class(root, other_color_class,\n",
        "                                       element.attr(\"opacity\") == 1.0);\n",
        "                }\n",
        "            });\n",
        "    } else {\n",
        "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "return Gadfly;\n",
        "\n",
        "}));\n",
        "\n",
        "\n",
        "//@ sourceURL=gadfly.js\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
        "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
        "            factory(Snap, Gadfly);\n",
        "        });\n",
        "      } else {\n",
        "          factory(glob.Snap, glob.Gadfly);\n",
        "      }\n",
        "})(window, function (Snap, Gadfly) {\n",
        "    var fig = Snap(\"#fig-49a3da342ed64cfab1456a9f9add90b5\");\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-5\")\n",
        "   .mouseenter(Gadfly.plot_mouseover)\n",
        ".mouseleave(Gadfly.plot_mouseout)\n",
        ".mousewheel(Gadfly.guide_background_scroll)\n",
        ".drag(Gadfly.guide_background_drag_onmove,\n",
        "      Gadfly.guide_background_drag_onstart,\n",
        "      Gadfly.guide_background_drag_onend)\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-8\")\n",
        "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-8\")\n",
        "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-9\")\n",
        "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-9\")\n",
        "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-14\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-14\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-14\")\n",
        "   .click(Gadfly.zoomslider_zoomin_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-16\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-16\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-16\")\n",
        "   .click(Gadfly.zoomslider_track_click);\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-17\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-17\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-17\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-17\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-17\")\n",
        "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
        "     Gadfly.zoomslider_thumb_dragstart,\n",
        "     Gadfly.zoomslider_thumb_dragend)\n",
        ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
        ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-18\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-18\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-49a3da342ed64cfab1456a9f9add90b5-element-18\")\n",
        "   .click(Gadfly.zoomslider_zoomout_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "    });\n",
        "]]> </script>\n",
        "</svg>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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       "text": [
        "Plot(...)"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "WARNING: groupby(xs, keyfunc) should be groupby(keyfunc, xs)\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot(x=[-0.5,3.5],y=[-0.5,1.5], Geom.point,\n",
      "     Guide.annotation(compose(context(),GeoInterface.composeform(buffer(p1,0.5)),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[1]))),\n",
      "     Guide.annotation(compose(context(),GeoInterface.composeform(buffer(p3,0.5)),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[2]))),\n",
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        "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
        "\n",
        "]]> </script>\n",
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        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "    if (typeof define === \"function\" && define.amd) {\n",
        "        // Define as an anonymous module\n",
        "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
        "            return factory(Snap);\n",
        "        });\n",
        "    } else {\n",
        "        // Browser globals (glob is window)\n",
        "        // Snap adds itself to window\n",
        "        glob.Gadfly = factory(glob.Snap);\n",
        "    }\n",
        "}(this, function (Snap) {\n",
        "\n",
        "var Gadfly = {};\n",
        "\n",
        "// Get an x/y coordinate value in pixels\n",
        "var xPX = function(fig, x) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
        "};\n",
        "\n",
        "var yPX = function(fig, y) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
        "};\n",
        "\n",
        "\n",
        "Snap.plugin(function (Snap, Element, Paper, global) {\n",
        "    // Traverse upwards from a snap element to find and return the first\n",
        "    // note with the \"plotroot\" class.\n",
        "    Element.prototype.plotroot = function () {\n",
        "        var element = this;\n",
        "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.svgroot = function () {\n",
        "        var element = this;\n",
        "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotbounds = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x0: bbox.x,\n",
        "            x1: bbox.x + bbox.width,\n",
        "            y0: bbox.y,\n",
        "            y1: bbox.y + bbox.height\n",
        "        };\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotcenter = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x: bbox.x + bbox.width / 2,\n",
        "            y: bbox.y + bbox.height / 2\n",
        "        };\n",
        "    };\n",
        "\n",
        "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
        "    // does everything right.\n",
        "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
        "    var events = [\"mouseenter\", \"mouseleave\"];\n",
        "\n",
        "    for (i in events) {\n",
        "        (function (event_name) {\n",
        "            var event_name = events[i];\n",
        "            Element.prototype[event_name] = function (fn, scope) {\n",
        "                if (Snap.is(fn, \"function\")) {\n",
        "                    var fn2 = function (event) {\n",
        "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
        "                            return;\n",
        "                        }\n",
        "\n",
        "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
        "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
        "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
        "\n",
        "                        if (reltg != this.node) {\n",
        "                            return fn.apply(this, event);\n",
        "                        }\n",
        "                    };\n",
        "\n",
        "                    if (event_name == \"mouseenter\") {\n",
        "                        this.mouseover(fn2, scope);\n",
        "                    } else {\n",
        "                        this.mouseout(fn2, scope);\n",
        "                    }\n",
        "                }\n",
        "                return this;\n",
        "            };\n",
        "        })(events[i]);\n",
        "    }\n",
        "\n",
        "\n",
        "    Element.prototype.mousewheel = function (fn, scope) {\n",
        "        if (Snap.is(fn, \"function\")) {\n",
        "            var el = this;\n",
        "            var fn2 = function (event) {\n",
        "                fn.apply(el, [event]);\n",
        "            };\n",
        "        }\n",
        "\n",
        "        this.node.addEventListener(\n",
        "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
        "            fn2);\n",
        "\n",
        "        return this;\n",
        "    };\n",
        "\n",
        "\n",
        "    // Snap's attr function can be too slow for things like panning/zooming.\n",
        "    // This is a function to directly update element attributes without going\n",
        "    // through eve.\n",
        "    Element.prototype.attribute = function(key, val) {\n",
        "        if (val === undefined) {\n",
        "            return this.node.getAttribute(key, val);\n",
        "        } else {\n",
        "            return this.node.setAttribute(key, val);\n",
        "        }\n",
        "    };\n",
        "});\n",
        "\n",
        "\n",
        "// When the plot is moused over, emphasize the grid lines.\n",
        "Gadfly.plot_mouseover = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    xgridlines.data(\"unfocused_strokedash\",\n",
        "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "    ygridlines.data(\"unfocused_strokedash\",\n",
        "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "\n",
        "    // emphasize grid lines\n",
        "    var destcolor = root.data(\"focused_xgrid_color\");\n",
        "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"focused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // reveal zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 1.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "// Unemphasize grid lines on mouse out.\n",
        "Gadfly.plot_mouseout = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
        "\n",
        "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // hide zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 0.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "var set_geometry_transform = function(root, tx, ty, scale) {\n",
        "    var xscalable = root.hasClass(\"xscalable\"),\n",
        "        yscalable = root.hasClass(\"yscalable\");\n",
        "\n",
        "    var old_scale = root.data(\"scale\");\n",
        "\n",
        "    var xscale = xscalable ? scale : 1.0,\n",
        "        yscale = yscalable ? scale : 1.0;\n",
        "\n",
        "    tx = xscalable ? tx : 0.0;\n",
        "    ty = yscalable ? ty : 0.0;\n",
        "\n",
        "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
        "\n",
        "    root.selectAll(\".geometry, image\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.transform(t);\n",
        "        });\n",
        "\n",
        "    bounds = root.plotbounds();\n",
        "\n",
        "    if (yscalable) {\n",
        "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
        "        root.selectAll(\".xfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(xfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".ylabels\")\n",
        "            .transform(xfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var y = cy * scale + ty;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (xscalable) {\n",
        "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
        "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
        "        root.selectAll(\".yfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(yfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".xlabels\")\n",
        "            .transform(yfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
        "\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var x = cx * scale + tx;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
        "                    }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
        "    var size_attribs = [\"font-size\"];\n",
        "    var unscaled_selection = \".geometry, .geometry *\";\n",
        "    if (xscalable) {\n",
        "        size_attribs.push(\"rx\");\n",
        "        unscaled_selection += \", .xgridlines\";\n",
        "    }\n",
        "    if (yscalable) {\n",
        "        size_attribs.push(\"ry\");\n",
        "        unscaled_selection += \", .ygridlines\";\n",
        "    }\n",
        "\n",
        "    root.selectAll(unscaled_selection)\n",
        "        .forEach(function (element, i) {\n",
        "            // circle need special help\n",
        "            if (element.node.nodeName == \"circle\") {\n",
        "                var cx = element.attribute(\"cx\"),\n",
        "                    cy = element.attribute(\"cy\");\n",
        "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
        "                                                        cx, cy);\n",
        "                element.transform(unscale_t);\n",
        "                return;\n",
        "            }\n",
        "\n",
        "            for (i in size_attribs) {\n",
        "                var key = size_attribs[i];\n",
        "                var val = parseFloat(element.attribute(key));\n",
        "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
        "                    element.attribute(key, val * old_scale / scale);\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "};\n",
        "\n",
        "\n",
        "// Find the most appropriate tick scale and update label visibility.\n",
        "var update_tickscale = function(root, scale, axis) {\n",
        "    if (!root.hasClass(axis + \"scalable\")) return;\n",
        "\n",
        "    var tickscales = root.data(axis + \"tickscales\");\n",
        "    var best_tickscale = 1.0;\n",
        "    var best_tickscale_dist = Infinity;\n",
        "    for (tickscale in tickscales) {\n",
        "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
        "        if (dist < best_tickscale_dist) {\n",
        "            best_tickscale_dist = dist;\n",
        "            best_tickscale = tickscale;\n",
        "        }\n",
        "    }\n",
        "\n",
        "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
        "        root.data(axis + \"tickscale\", best_tickscale);\n",
        "        var mark_inscale_gridlines = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        var mark_inscale_labels = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
        "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
        "    var old_scale = root.data(\"scale\");\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    // compute the viewport derived from tx, ty, and scale\n",
        "    var x_min = -width * scale - (scale * width - width),\n",
        "        x_max = width * scale,\n",
        "        y_min = -height * scale - (scale * height - height),\n",
        "        y_max = height * scale;\n",
        "\n",
        "    var x0 = bounds.x0 - scale * bounds.x0,\n",
        "        y0 = bounds.y0 - scale * bounds.y0;\n",
        "\n",
        "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
        "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
        "\n",
        "    tx += x0;\n",
        "    ty += y0;\n",
        "\n",
        "    // when the scale change, we may need to alter which set of\n",
        "    // ticks is being displayed\n",
        "    if (scale != old_scale) {\n",
        "        update_tickscale(root, scale, \"x\");\n",
        "        update_tickscale(root, scale, \"y\");\n",
        "    }\n",
        "\n",
        "    set_geometry_transform(root, tx, ty, scale);\n",
        "\n",
        "    root.data(\"scale\", scale);\n",
        "    root.data(\"tx\", tx);\n",
        "    root.data(\"ty\", ty);\n",
        "};\n",
        "\n",
        "\n",
        "var scale_centered_translation = function(root, scale) {\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var scale0 = root.data(\"scale\");\n",
        "\n",
        "    // how off from center the current view is\n",
        "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
        "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
        "\n",
        "    // rescale offsets\n",
        "    xoff = xoff * scale / scale0;\n",
        "    yoff = yoff * scale / scale0;\n",
        "\n",
        "    // adjust for the panel position being scaled\n",
        "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
        "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
        "\n",
        "    return {\n",
        "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
        "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
        "    };\n",
        "};\n",
        "\n",
        "\n",
        "// Initialize data for panning zooming if it isn't already.\n",
        "var init_pan_zoom = function(root) {\n",
        "    if (root.data(\"zoompan-ready\")) {\n",
        "        return;\n",
        "    }\n",
        "\n",
        "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
        "    // stroke-width when zooming, we force it to a fixed value.\n",
        "    var px_per_mm = root.node.getCTM().a;\n",
        "\n",
        "    // Drag events report deltas in pixels, which we'd like to convert to\n",
        "    // millimeters.\n",
        "    root.data(\"px_per_mm\", px_per_mm);\n",
        "\n",
        "    root.selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
        "        if (sw > 0) {\n",
        "            element.attribute(\"stroke-width\", sw);\n",
        "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
        "        }\n",
        "    });\n",
        "\n",
        "    // Store ticks labels original tranformation\n",
        "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
        "        .forEach(function (element, i) {\n",
        "            var lm = element.transform().localMatrix;\n",
        "            element.data(\"static_transform\",\n",
        "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
        "        });\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\");\n",
        "    var ygridlines = root.select(\".ygridlines\");\n",
        "    var xlabels = root.select(\".xlabels\");\n",
        "    var ylabels = root.select(\".ylabels\");\n",
        "\n",
        "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
        "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
        "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
        "    if (root.data(\"xtickscales\") === undefined) {\n",
        "\n",
        "        // index all the tick scales that are listed\n",
        "        var xtickscales = {};\n",
        "        var ytickscales = {};\n",
        "        var add_x_tick_scales = function (element, i) {\n",
        "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "        var add_y_tick_scales = function (element, i) {\n",
        "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "\n",
        "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
        "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
        "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
        "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
        "\n",
        "        root.data(\"xtickscales\", xtickscales);\n",
        "        root.data(\"ytickscales\", ytickscales);\n",
        "        root.data(\"xtickscale\", 1.0);\n",
        "    }\n",
        "\n",
        "    var min_scale = 1.0, max_scale = 1.0;\n",
        "    for (scale in xtickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    for (scale in ytickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    root.data(\"min_scale\", min_scale);\n",
        "    root.data(\"max_scale\", max_scale);\n",
        "\n",
        "    // store the original positions of labels\n",
        "    if (xlabels) {\n",
        "        xlabels.selectAll(\"text\")\n",
        "               .forEach(function (element, i) {\n",
        "                   element.data(\"x\", element.asPX(\"x\"));\n",
        "               });\n",
        "    }\n",
        "\n",
        "    if (ylabels) {\n",
        "        ylabels.selectAll(\"text\")\n",
        "               .forEach(function (element, i) {\n",
        "                   element.data(\"y\", element.asPX(\"y\"));\n",
        "               });\n",
        "    }\n",
        "\n",
        "    // mark grid lines and ticks as in or out of scale.\n",
        "    var mark_inscale = function (element, i) {\n",
        "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
        "    };\n",
        "\n",
        "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
        "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
        "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
        "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
        "\n",
        "    // figure out the upper ond lower bounds on panning using the maximum\n",
        "    // and minum grid lines\n",
        "    var bounds = root.plotbounds();\n",
        "    var pan_bounds = {\n",
        "        x0: 0.0,\n",
        "        y0: 0.0,\n",
        "        x1: 0.0,\n",
        "        y1: 0.0\n",
        "    };\n",
        "\n",
        "    if (xgridlines) {\n",
        "        xgridlines\n",
        "            .selectAll(\"path\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var bbox = element.node.getBBox();\n",
        "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
        "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
        "                    }\n",
        "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
        "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
        "                    }\n",
        "                    element.attr(\"visibility\", \"visible\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (ygridlines) {\n",
        "        ygridlines\n",
        "            .selectAll(\"path\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var bbox = element.node.getBBox();\n",
        "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
        "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
        "                    }\n",
        "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
        "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
        "                    }\n",
        "                    element.attr(\"visibility\", \"visible\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // nudge these values a little\n",
        "    pan_bounds.x0 -= 5;\n",
        "    pan_bounds.x1 += 5;\n",
        "    pan_bounds.y0 -= 5;\n",
        "    pan_bounds.y1 += 5;\n",
        "    root.data(\"pan_bounds\", pan_bounds);\n",
        "\n",
        "    root.data(\"zoompan-ready\", true)\n",
        "};\n",
        "\n",
        "\n",
        "// Panning\n",
        "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var dx0 = root.data(\"dx\"),\n",
        "        dy0 = root.data(\"dy\");\n",
        "\n",
        "    root.data(\"dx\", dx);\n",
        "    root.data(\"dy\", dy);\n",
        "\n",
        "    dx = dx - dx0;\n",
        "    dy = dy - dy0;\n",
        "\n",
        "    var tx = tx0 + dx,\n",
        "        ty = ty0 + dy;\n",
        "\n",
        "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    root.data(\"dx\", 0);\n",
        "    root.data(\"dy\", 0);\n",
        "    init_pan_zoom(root);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onend = function(event) {\n",
        "    var root = this.plotroot();\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_scroll = function(event) {\n",
        "    if (event.shiftKey) {\n",
        "        var root = this.plotroot();\n",
        "        init_pan_zoom(root);\n",
        "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
        "        new_scale = Math.max(\n",
        "            root.data(\"min_scale\"),\n",
        "            Math.min(root.data(\"max_scale\"), new_scale))\n",
        "        update_plot_scale(root, new_scale);\n",
        "        event.stopPropagation();\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseover = function(event) {\n",
        "    this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseout = function(event) {\n",
        "     this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomout_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var min_scale = root.data(\"min_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.max(min_scale, scale / 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomin_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var max_scale = root.data(\"max_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.min(max_scale, scale * 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_track_click = function(event) {\n",
        "    // TODO\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
        "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
        "    if (scale >= 1.0) {\n",
        "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
        "    }\n",
        "}\n",
        "\n",
        "\n",
        "var update_plot_scale = function(root, new_scale) {\n",
        "    var trans = scale_centered_translation(root, new_scale);\n",
        "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
        "\n",
        "    root.selectAll(\".zoomslider_thumb\")\n",
        "        .forEach(function (element, i) {\n",
        "            var min_pos = element.data(\"min_pos\"),\n",
        "                max_pos = element.data(\"max_pos\"),\n",
        "                min_scale = root.data(\"min_scale\"),\n",
        "                max_scale = root.data(\"max_scale\");\n",
        "            var xmid = (min_pos + max_pos) / 2;\n",
        "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
        "            element.transform(new Snap.Matrix().translate(\n",
        "                Math.max(min_pos, Math.min(\n",
        "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
        "    });\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
        "    var root = this.plotroot();\n",
        "    var min_pos = this.data(\"min_pos\"),\n",
        "        max_pos = this.data(\"max_pos\"),\n",
        "        min_scale = root.data(\"min_scale\"),\n",
        "        max_scale = root.data(\"max_scale\"),\n",
        "        old_scale = root.data(\"old_scale\");\n",
        "\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var xmid = (min_pos + max_pos) / 2;\n",
        "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
        "                   dx / (max_pos - min_pos);\n",
        "\n",
        "    // compute the new scale\n",
        "    var new_scale;\n",
        "    if (xpos >= 0.5) {\n",
        "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
        "                        Math.log(min_scale));\n",
        "    }\n",
        "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
        "\n",
        "    update_plot_scale(root, new_scale);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    // keep track of what the scale was when we started dragging\n",
        "    root.data(\"old_scale\", root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
        "};\n",
        "\n",
        "\n",
        "var toggle_color_class = function(root, color_class, ison) {\n",
        "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
        "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
        "    if (ison) {\n",
        "        guides.animate({opacity: 0.5}, 250);\n",
        "        geoms.animate({opacity: 0.0}, 250);\n",
        "    } else {\n",
        "        guides.animate({opacity: 1.0}, 250);\n",
        "        geoms.animate({opacity: 1.0}, 250);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.colorkey_swatch_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var color_class = this.data(\"color_class\");\n",
        "\n",
        "    if (event.shiftKey) {\n",
        "        root.selectAll(\".colorkey text\")\n",
        "            .forEach(function (element) {\n",
        "                var other_color_class = element.data(\"color_class\");\n",
        "                if (other_color_class != color_class) {\n",
        "                    toggle_color_class(root, other_color_class,\n",
        "                                       element.attr(\"opacity\") == 1.0);\n",
        "                }\n",
        "            });\n",
        "    } else {\n",
        "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "return Gadfly;\n",
        "\n",
        "}));\n",
        "\n",
        "\n",
        "//@ sourceURL=gadfly.js\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
        "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
        "            factory(Snap, Gadfly);\n",
        "        });\n",
        "      } else {\n",
        "          factory(glob.Snap, glob.Gadfly);\n",
        "      }\n",
        "})(window, function (Snap, Gadfly) {\n",
        "    var fig = Snap(\"#fig-b40b569212e3401b9654c3be31e51e62\");\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-5\")\n",
        "   .mouseenter(Gadfly.plot_mouseover)\n",
        ".mouseleave(Gadfly.plot_mouseout)\n",
        ".mousewheel(Gadfly.guide_background_scroll)\n",
        ".drag(Gadfly.guide_background_drag_onmove,\n",
        "      Gadfly.guide_background_drag_onstart,\n",
        "      Gadfly.guide_background_drag_onend)\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-8\")\n",
        "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-8\")\n",
        "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-9\")\n",
        "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-9\")\n",
        "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-14\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-14\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-14\")\n",
        "   .click(Gadfly.zoomslider_zoomin_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-16\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-16\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-16\")\n",
        "   .click(Gadfly.zoomslider_track_click);\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-17\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-17\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-17\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-17\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-17\")\n",
        "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
        "     Gadfly.zoomslider_thumb_dragstart,\n",
        "     Gadfly.zoomslider_thumb_dragend)\n",
        ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
        ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-18\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-18\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-b40b569212e3401b9654c3be31e51e62-element-18\")\n",
        "   .click(Gadfly.zoomslider_zoomout_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "    });\n",
        "]]> </script>\n",
        "</svg>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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        "  <path d=\"M17.94,5 L 136.42 5 136.42 80.72 17.94 80.72\" />\n",
        "</clipPath\n",
        "></defs>\n",
        "</svg>\n"
       ],
       "text": [
        "Plot(...)"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Interact"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "using Interact\n",
      "\n",
      "@manipulate for width=-0.5:0.1:0.5, quadsegs=1:10\n",
      "    plot(x=[-0.5,3.5],y=[-0.5,1.5], Geom.point,\n",
      "         Guide.annotation(compose(context(),GeoInterface.composeform(buffer(p1,width,quadsegs)),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[1]))),\n",
      "         Guide.annotation(compose(context(),GeoInterface.composeform(buffer(p3,width,quadsegs)),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[2]))),\n",
      "         Guide.annotation(compose(context(),GeoInterface.composeform(buffer(p2,width,quadsegs)),linewidth(0.05mm),stroke(color(\"black\")),fill(colors[3]))))\n",
      "end"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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        "\n",
        "    function createElem(tag, attr, content) {\n",
        "\t// TODO: remove jQuery dependency\n",
        "\tvar el = $(\"<\" + tag + \"/>\").attr(attr);\n",
        "\tif (content) {\n",
        "\t    el.append(content);\n",
        "\t}\n",
        "\treturn el[0];\n",
        "    }\n",
        "\n",
        "    // A widget must expose an id field which identifies it to the backend,\n",
        "    // an elem attribute which is will be added to the DOM, and\n",
        "    // a getState() method which returns the value to be sent to the backend\n",
        "    // a sendUpdate() method which sends its current value to the backend\n",
        "    var Widget = {\n",
        "\tid: undefined,\n",
        "\telem: undefined,\n",
        "\tlabel: undefined,\n",
        "\tgetState: function () {\n",
        "\t    return this.elem.value;\n",
        "\t},\n",
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        "    };\n",
        "\n",
        "    var Slider = function (typ, id, init) {\n",
        "\tvar attr = { type:  \"range\",\n",
        "\t\t     value: init.value,\n",
        "\t\t     min:   init.min,\n",
        "\t\t     max:   init.max,\n",
        "\t\t     step:  init.step },\n",
        "\t    elem = createElem(\"input\", attr),\n",
        "\t    self = this;\n",
        "\n",
        "\telem.onchange = function () {\n",
        "\t    self.sendUpdate();\n",
        "\t}\n",
        "\n",
        "\tthis.id = id;\n",
        "\tthis.elem = elem;\n",
        "\tthis.label = init.label;\n",
        "\n",
        "\tInputWidgets.commInitializer(this); // Initialize communication\n",
        "    }\n",
        "    Slider.prototype = Widget;\n",
        "\n",
        "    var Checkbox = function (typ, id, init) {\n",
        "\tvar attr = { type: \"checkbox\",\n",
        "\t\t     checked: init.value },\n",
        "\t    elem = createElem(\"input\", attr),\n",
        "\t    self = this;\n",
        "\n",
        "\tthis.getState = function () {\n",
        "\t    return elem.checked;\n",
        "\t}\n",
        "\telem.onchange = function () {\n",
        "\t    self.sendUpdate();\n",
        "\t}\n",
        "\n",
        "\tthis.id = id;\n",
        "\tthis.elem = elem;\n",
        "\tthis.label = init.label;\n",
        "\n",
        "\tInputWidgets.commInitializer(this);\n",
        "    }\n",
        "    Checkbox.prototype = Widget;\n",
        "\n",
        "    var Button = function (typ, id, init) {\n",
        "\tvar attr = { type:    \"button\",\n",
        "\t\t     value:   init.label },\n",
        "\t    elem = createElem(\"input\", attr),\n",
        "\t    self = this;\n",
        "\tthis.getState = function () {\n",
        "\t    return null;\n",
        "\t}\n",
        "\telem.onclick = function () {\n",
        "\t    self.sendUpdate();\n",
        "\t}\n",
        "\n",
        "\tthis.id = id;\n",
        "\tthis.elem = elem;\n",
        "\tthis.label = init.label;\n",
        "\n",
        "\tInputWidgets.commInitializer(this);\n",
        "    }\n",
        "    Button.prototype = Widget;\n",
        "\n",
        "    var Text = function (typ, id, init) {\n",
        "\tvar attr = { type:  \"text\",\n",
        "\t\t     placeholder: init.label,\n",
        "\t\t     value: init.value },\n",
        "\t    elem = createElem(\"input\", attr),\n",
        "\t    self = this;\n",
        "\tthis.getState = function () {\n",
        "\t    return elem.value;\n",
        "\t}\n",
        "\telem.onkeyup = function () {\n",
        "\t    self.sendUpdate();\n",
        "\t}\n",
        "\n",
        "\tthis.id = id;\n",
        "\tthis.elem = elem;\n",
        "\tthis.label = init.label;\n",
        "\n",
        "\tInputWidgets.commInitializer(this);\n",
        "    }\n",
        "    Text.prototype = Widget;\n",
        "\n",
        "    var Textarea = function (typ, id, init) {\n",
        "\tvar attr = { placeholder: init.label },\n",
        "\t    elem = createElem(\"textarea\", attr, init.value),\n",
        "\t    self = this;\n",
        "\tthis.getState = function () {\n",
        "\t    return elem.value;\n",
        "\t}\n",
        "\telem.onchange = function () {\n",
        "\t    self.sendUpdate();\n",
        "\t}\n",
        "\n",
        "\tthis.id = id;\n",
        "\tthis.elem = elem;\n",
        "\tthis.label = init.label;\n",
        "\n",
        "\tInputWidgets.commInitializer(this);\n",
        "    }\n",
        "    Textarea.prototype = Widget;\n",
        "\n",
        "    // RadioButtons\n",
        "    // Dropdown\n",
        "    // HTML\n",
        "    // Latex\n",
        "\n",
        "    var InputWidgets = {\n",
        "\tSlider: Slider,\n",
        "\tCheckbox: Checkbox,\n",
        "\tButton: Button,\n",
        "\tText: Text,\n",
        "\tTextarea: Textarea,\n",
        "\tdebug: false,\n",
        "\tlog: function () {\n",
        "\t    if (InputWidgets.debug) {\n",
        "\t\tconsole.log.apply(console, arguments);\n",
        "\t    }\n",
        "\t},\n",
        "\t// a central way to initalize communication\n",
        "\t// for widgets.\n",
        "\tcommInitializer: function (widget) {\n",
        "\t    widget.sendUpdate = function () {};\n",
        "\t}\n",
        "    };\n",
        "\n",
        "    window.InputWidgets = InputWidgets;\n",
        "\n",
        "})(jQuery, undefined);\n",
        "</script>"
       ],
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      },
      {
       "html": [
        "<script charset=\"utf-8\">(function (IPython, $, _, MathJax, Widgets) {\n",
        "    $.event.special.destroyed = {\n",
        "\tremove: function(o) {\n",
        "\t    if (o.handler) {\n",
        "\t\to.handler.apply(this, arguments)\n",
        "\t    }\n",
        "\t}\n",
        "    }\n",
        "\n",
        "    var redrawValue = function (container, type, val) {\n",
        "\tvar selector = $(\"<div/>\");\n",
        "\tvar oa = new IPython.OutputArea(_.extend(selector, {\n",
        "\t    selector: selector,\n",
        "\t    prompt_area: true,\n",
        "\t    events: IPython.events,\n",
        "\t    keyboard_manager: IPython.keyboard_manager\n",
        "\t})); // Hack to work with IPython 2.1.0\n",
        "\n",
        "\tswitch (type) {\n",
        "\tcase \"image/png\":\n",
        "            var _src = 'data:' + type + ';base64,' + val;\n",
        "\t    $(container).find(\"img\").attr('src', _src);\n",
        "\t    break;\n",
        "\tdefault:\n",
        "\t    var toinsert = IPython.OutputArea.append_map[type].apply(\n",
        "\t\toa, [val, {}, selector]\n",
        "\t    );\n",
        "\t    $(container).empty().append(toinsert.contents());\n",
        "\t    selector.remove();\n",
        "\t}\n",
        "\tif (type === \"text/latex\" && MathJax) {\n",
        "\t    MathJax.Hub.Queue([\"Typeset\", MathJax.Hub, toinsert.get(0)]);\n",
        "\t}\n",
        "    }\n",
        "\n",
        "\n",
        "    $(document).ready(function() {\n",
        "\tWidgets.debug = false; // log messages etc in console.\n",
        "\tfunction initComm(evt, data) {\n",
        "\t    var comm_manager = data.kernel.comm_manager;\n",
        "\t    comm_manager.register_target(\"Signal\", function (comm) {\n",
        "\t\tcomm.on_msg(function (msg) {\n",
        "\t\t    //Widgets.log(\"message received\", msg);\n",
        "\t\t    var val = msg.content.data.value;\n",
        "\t\t    $(\".signal-\" + comm.comm_id).each(function() {\n",
        "\t\t\tvar type = $(this).data(\"type\");\n",
        "\t\t\tif (val[type]) {\n",
        "\t\t\t    redrawValue(this, type, val[type], type);\n",
        "\t\t\t}\n",
        "\t\t    });\n",
        "\t\t    delete val;\n",
        "\t\t    delete msg.content.data.value;\n",
        "\t\t});\n",
        "\t    });\n",
        "\n",
        "\t    // coordingate with Comm and redraw Signals\n",
        "\t    // XXX: Test using Reactive here to improve performance\n",
        "\t    $([IPython.events]).on(\n",
        "\t\t'output_appended.OutputArea', function (event, type, value, md, toinsert) {\n",
        "\t\t    if (md && md.reactive) {\n",
        "\t\t\t// console.log(md.comm_id);\n",
        "\t\t\ttoinsert.addClass(\"signal-\" + md.comm_id);\n",
        "\t\t\ttoinsert.data(\"type\", type);\n",
        "\t\t\t// Signal back indicating the mimetype required\n",
        "\t\t\tvar comm_manager = IPython.notebook.kernel.comm_manager;\n",
        "\t\t\tvar comm = comm_manager.comms[md.comm_id];\n",
        "\t\t\tcomm.send({action: \"subscribe_mime\",\n",
        "\t\t\t\t   mime: type});\n",
        "\t\t\ttoinsert.bind(\"destroyed\", function() {\n",
        "\t\t\t    comm.send({action: \"unsubscribe_mime\",\n",
        "\t\t\t\t       mime: type});\n",
        "\t\t\t});\n",
        "\t\t    }\n",
        "\t    });\n",
        "\n",
        "\t    // Set up communication for Widgets\n",
        "\t    Widgets.commInitializer = function (widget) {\n",
        "\t\tvar comm = comm_manager.new_comm(\n",
        "\t\t    \"InputWidget\", {widget_id: widget.id}\n",
        "\t\t);\n",
        "\t\twidget.sendUpdate = function () {\n",
        "\t\t    // `this` is a widget here.\n",
        "\t\t    // TODO: I have a feeling there's some\n",
        "\t\t    //       IPython bookkeeping to be done here.\n",
        "\t\t    // Widgets.log(\"State changed\", this, this.getState());\n",
        "\t\t    comm.send({value: this.getState()});\n",
        "\t\t}\n",
        "\t    };\n",
        "\t}\n",
        "\n",
        "\ttry {\n",
        "\t    // try to initialize right away. otherwise, wait on the status_started event.\n",
        "\t    initComm(undefined, IPython.notebook);\n",
        "\t} catch (e) {\n",
        "\t    $([IPython.events]).on('status_started.Kernel', initComm);\n",
        "\t}\n",
        "    });\n",
        "})(IPython, jQuery, _, MathJax, InputWidgets);\n",
        "</script>"
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      },
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       "output_type": "display_data",
       "text": [
        "Slider{Float64}([Input{Float64}] 0.0,\"width\",0.0,-0.5:0.1:0.5)"
       ]
      },
      {
       "html": [],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "Slider{Int64}([Input{Int64}] 5,\"quadsegs\",5,1:10)"
       ]
      },
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       "prompt_number": 7,
       "svg": [
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        "<svg xmlns=\"http://www.w3.org/2000/svg\"\n",
        "     xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
        "     xmlns:gadfly=\"http://www.gadflyjl.org/ns\"\n",
        "     version=\"1.2\"\n",
        "     width=\"141.42mm\" height=\"100mm\" viewBox=\"0 0 141.42 100\"\n",
        "     stroke=\"none\"\n",
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        "</g>\n",
        "<defs>\n",
        "<clipPath id=\"fig-3de61b39d79841148031d62f348ef0f1-element-6\">\n",
        "  <path d=\"M17.94,5 L 136.42 5 136.42 80.72 17.94 80.72\" />\n",
        "</clipPath\n",
        "></defs>\n",
        "</svg>\n"
       ],
       "text": [
        "Plot(...)"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Operations\n",
      "## union"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "polygon = union(buffer(p1,0.5),buffer(p3,0.5))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "Polygon(Ptr{Ptr{None}} @0x00007fc2ace75578)"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
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        "{amount:d,amount2:0.5-d/2})};a.filter.contrast.toString=function(){return this()}});return C});\n",
        "\n",
        "]]> </script>\n",
        "<script> <![CDATA[\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "    if (typeof define === \"function\" && define.amd) {\n",
        "        // Define as an anonymous module\n",
        "        define(\"Gadfly\", [\"Snap.svg\"], function (Snap) {\n",
        "            return factory(Snap);\n",
        "        });\n",
        "    } else {\n",
        "        // Browser globals (glob is window)\n",
        "        // Snap adds itself to window\n",
        "        glob.Gadfly = factory(glob.Snap);\n",
        "    }\n",
        "}(this, function (Snap) {\n",
        "\n",
        "var Gadfly = {};\n",
        "\n",
        "// Get an x/y coordinate value in pixels\n",
        "var xPX = function(fig, x) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return x * fig.node.viewBox.baseVal.width / client_box.width;\n",
        "};\n",
        "\n",
        "var yPX = function(fig, y) {\n",
        "    var client_box = fig.node.getBoundingClientRect();\n",
        "    return y * fig.node.viewBox.baseVal.height / client_box.height;\n",
        "};\n",
        "\n",
        "\n",
        "Snap.plugin(function (Snap, Element, Paper, global) {\n",
        "    // Traverse upwards from a snap element to find and return the first\n",
        "    // note with the \"plotroot\" class.\n",
        "    Element.prototype.plotroot = function () {\n",
        "        var element = this;\n",
        "        while (!element.hasClass(\"plotroot\") && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.svgroot = function () {\n",
        "        var element = this;\n",
        "        while (element.node.nodeName != \"svg\" && element.parent() != null) {\n",
        "            element = element.parent();\n",
        "        }\n",
        "        return element;\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotbounds = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x0: bbox.x,\n",
        "            x1: bbox.x + bbox.width,\n",
        "            y0: bbox.y,\n",
        "            y1: bbox.y + bbox.height\n",
        "        };\n",
        "    };\n",
        "\n",
        "    Element.prototype.plotcenter = function () {\n",
        "        var root = this.plotroot()\n",
        "        var bbox = root.select(\".guide.background\").node.getBBox();\n",
        "        return {\n",
        "            x: bbox.x + bbox.width / 2,\n",
        "            y: bbox.y + bbox.height / 2\n",
        "        };\n",
        "    };\n",
        "\n",
        "    // Emulate IE style mouseenter/mouseleave events, since Microsoft always\n",
        "    // does everything right.\n",
        "    // See: http://www.dynamic-tools.net/toolbox/isMouseLeaveOrEnter/\n",
        "    var events = [\"mouseenter\", \"mouseleave\"];\n",
        "\n",
        "    for (i in events) {\n",
        "        (function (event_name) {\n",
        "            var event_name = events[i];\n",
        "            Element.prototype[event_name] = function (fn, scope) {\n",
        "                if (Snap.is(fn, \"function\")) {\n",
        "                    var fn2 = function (event) {\n",
        "                        if (event.type != \"mouseover\" && event.type != \"mouseout\") {\n",
        "                            return;\n",
        "                        }\n",
        "\n",
        "                        var reltg = event.relatedTarget ? event.relatedTarget :\n",
        "                            event.type == \"mouseout\" ? event.toElement : event.fromElement;\n",
        "                        while (reltg && reltg != this.node) reltg = reltg.parentNode;\n",
        "\n",
        "                        if (reltg != this.node) {\n",
        "                            return fn.apply(this, event);\n",
        "                        }\n",
        "                    };\n",
        "\n",
        "                    if (event_name == \"mouseenter\") {\n",
        "                        this.mouseover(fn2, scope);\n",
        "                    } else {\n",
        "                        this.mouseout(fn2, scope);\n",
        "                    }\n",
        "                }\n",
        "                return this;\n",
        "            };\n",
        "        })(events[i]);\n",
        "    }\n",
        "\n",
        "\n",
        "    Element.prototype.mousewheel = function (fn, scope) {\n",
        "        if (Snap.is(fn, \"function\")) {\n",
        "            var el = this;\n",
        "            var fn2 = function (event) {\n",
        "                fn.apply(el, [event]);\n",
        "            };\n",
        "        }\n",
        "\n",
        "        this.node.addEventListener(\n",
        "            /Firefox/i.test(navigator.userAgent) ? \"DOMMouseScroll\" : \"mousewheel\",\n",
        "            fn2);\n",
        "\n",
        "        return this;\n",
        "    };\n",
        "\n",
        "\n",
        "    // Snap's attr function can be too slow for things like panning/zooming.\n",
        "    // This is a function to directly update element attributes without going\n",
        "    // through eve.\n",
        "    Element.prototype.attribute = function(key, val) {\n",
        "        if (val === undefined) {\n",
        "            return this.node.getAttribute(key, val);\n",
        "        } else {\n",
        "            return this.node.setAttribute(key, val);\n",
        "        }\n",
        "    };\n",
        "});\n",
        "\n",
        "\n",
        "// When the plot is moused over, emphasize the grid lines.\n",
        "Gadfly.plot_mouseover = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    xgridlines.data(\"unfocused_strokedash\",\n",
        "                    xgridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "    ygridlines.data(\"unfocused_strokedash\",\n",
        "                    ygridlines.attr(\"stroke-dasharray\").replace(/px/g, \"mm\"))\n",
        "\n",
        "    // emphasize grid lines\n",
        "    var destcolor = root.data(\"focused_xgrid_color\");\n",
        "    xgridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"focused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", \"none\")\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // reveal zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 1.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "// Unemphasize grid lines on mouse out.\n",
        "Gadfly.plot_mouseout = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var xgridlines = root.select(\".xgridlines\"),\n",
        "        ygridlines = root.select(\".ygridlines\");\n",
        "\n",
        "    var destcolor = root.data(\"unfocused_xgrid_color\");\n",
        "\n",
        "    xgridlines.attr(\"stroke-dasharray\", xgridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    destcolor = root.data(\"unfocused_ygrid_color\");\n",
        "    ygridlines.attr(\"stroke-dasharray\", ygridlines.data(\"unfocused_strokedash\"))\n",
        "              .selectAll(\"path\")\n",
        "              .animate({stroke: destcolor}, 250);\n",
        "\n",
        "    // hide zoom slider\n",
        "    root.select(\".zoomslider\")\n",
        "        .animate({opacity: 0.0}, 250);\n",
        "};\n",
        "\n",
        "\n",
        "var set_geometry_transform = function(root, tx, ty, scale) {\n",
        "    var xscalable = root.hasClass(\"xscalable\"),\n",
        "        yscalable = root.hasClass(\"yscalable\");\n",
        "\n",
        "    var old_scale = root.data(\"scale\");\n",
        "\n",
        "    var xscale = xscalable ? scale : 1.0,\n",
        "        yscale = yscalable ? scale : 1.0;\n",
        "\n",
        "    tx = xscalable ? tx : 0.0;\n",
        "    ty = yscalable ? ty : 0.0;\n",
        "\n",
        "    var t = new Snap.Matrix().translate(tx, ty).scale(xscale, yscale);\n",
        "\n",
        "    root.selectAll(\".geometry, image\")\n",
        "        .forEach(function (element, i) {\n",
        "            element.transform(t);\n",
        "        });\n",
        "\n",
        "    bounds = root.plotbounds();\n",
        "\n",
        "    if (yscalable) {\n",
        "        var xfixed_t = new Snap.Matrix().translate(0, ty).scale(1.0, yscale);\n",
        "        root.selectAll(\".xfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(xfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".ylabels\")\n",
        "            .transform(xfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1, 1/scale, cx, cy).add(st);\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var y = cy * scale + ty;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.y0 <= y && y <= bounds.y1 ? \"visible\" : \"hidden\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (xscalable) {\n",
        "        var yfixed_t = new Snap.Matrix().translate(tx, 0).scale(xscale, 1.0);\n",
        "        var xtrans = new Snap.Matrix().translate(tx, 0);\n",
        "        root.selectAll(\".yfixed\")\n",
        "            .forEach(function (element, i) {\n",
        "                element.transform(yfixed_t);\n",
        "            });\n",
        "\n",
        "        root.select(\".xlabels\")\n",
        "            .transform(yfixed_t)\n",
        "            .selectAll(\"text\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var cx = element.asPX(\"x\"),\n",
        "                        cy = element.asPX(\"y\");\n",
        "                    var st = element.data(\"static_transform\");\n",
        "                    unscale_t = new Snap.Matrix();\n",
        "                    unscale_t.scale(1/scale, 1, cx, cy).add(st);\n",
        "\n",
        "                    element.transform(unscale_t);\n",
        "\n",
        "                    var x = cx * scale + tx;\n",
        "                    element.attr(\"visibility\",\n",
        "                        bounds.x0 <= x && x <= bounds.x1 ? \"visible\" : \"hidden\");\n",
        "                    }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // we must unscale anything that is scale invariance: widths, raiduses, etc.\n",
        "    var size_attribs = [\"font-size\"];\n",
        "    var unscaled_selection = \".geometry, .geometry *\";\n",
        "    if (xscalable) {\n",
        "        size_attribs.push(\"rx\");\n",
        "        unscaled_selection += \", .xgridlines\";\n",
        "    }\n",
        "    if (yscalable) {\n",
        "        size_attribs.push(\"ry\");\n",
        "        unscaled_selection += \", .ygridlines\";\n",
        "    }\n",
        "\n",
        "    root.selectAll(unscaled_selection)\n",
        "        .forEach(function (element, i) {\n",
        "            // circle need special help\n",
        "            if (element.node.nodeName == \"circle\") {\n",
        "                var cx = element.attribute(\"cx\"),\n",
        "                    cy = element.attribute(\"cy\");\n",
        "                unscale_t = new Snap.Matrix().scale(1/xscale, 1/yscale,\n",
        "                                                        cx, cy);\n",
        "                element.transform(unscale_t);\n",
        "                return;\n",
        "            }\n",
        "\n",
        "            for (i in size_attribs) {\n",
        "                var key = size_attribs[i];\n",
        "                var val = parseFloat(element.attribute(key));\n",
        "                if (val !== undefined && val != 0 && !isNaN(val)) {\n",
        "                    element.attribute(key, val * old_scale / scale);\n",
        "                }\n",
        "            }\n",
        "        });\n",
        "};\n",
        "\n",
        "\n",
        "// Find the most appropriate tick scale and update label visibility.\n",
        "var update_tickscale = function(root, scale, axis) {\n",
        "    if (!root.hasClass(axis + \"scalable\")) return;\n",
        "\n",
        "    var tickscales = root.data(axis + \"tickscales\");\n",
        "    var best_tickscale = 1.0;\n",
        "    var best_tickscale_dist = Infinity;\n",
        "    for (tickscale in tickscales) {\n",
        "        var dist = Math.abs(Math.log(tickscale) - Math.log(scale));\n",
        "        if (dist < best_tickscale_dist) {\n",
        "            best_tickscale_dist = dist;\n",
        "            best_tickscale = tickscale;\n",
        "        }\n",
        "    }\n",
        "\n",
        "    if (best_tickscale != root.data(axis + \"tickscale\")) {\n",
        "        root.data(axis + \"tickscale\", best_tickscale);\n",
        "        var mark_inscale_gridlines = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        var mark_inscale_labels = function (element, i) {\n",
        "            var inscale = element.attr(\"gadfly:scale\") == best_tickscale;\n",
        "            element.attribute(\"gadfly:inscale\", inscale);\n",
        "            element.attr(\"visibility\", inscale ? \"visible\" : \"hidden\");\n",
        "        };\n",
        "\n",
        "        root.select(\".\" + axis + \"gridlines\").selectAll(\"path\").forEach(mark_inscale_gridlines);\n",
        "        root.select(\".\" + axis + \"labels\").selectAll(\"text\").forEach(mark_inscale_labels);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "var set_plot_pan_zoom = function(root, tx, ty, scale) {\n",
        "    var old_scale = root.data(\"scale\");\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    // compute the viewport derived from tx, ty, and scale\n",
        "    var x_min = -width * scale - (scale * width - width),\n",
        "        x_max = width * scale,\n",
        "        y_min = -height * scale - (scale * height - height),\n",
        "        y_max = height * scale;\n",
        "\n",
        "    var x0 = bounds.x0 - scale * bounds.x0,\n",
        "        y0 = bounds.y0 - scale * bounds.y0;\n",
        "\n",
        "    var tx = Math.max(Math.min(tx - x0, x_max), x_min),\n",
        "        ty = Math.max(Math.min(ty - y0, y_max), y_min);\n",
        "\n",
        "    tx += x0;\n",
        "    ty += y0;\n",
        "\n",
        "    // when the scale change, we may need to alter which set of\n",
        "    // ticks is being displayed\n",
        "    if (scale != old_scale) {\n",
        "        update_tickscale(root, scale, \"x\");\n",
        "        update_tickscale(root, scale, \"y\");\n",
        "    }\n",
        "\n",
        "    set_geometry_transform(root, tx, ty, scale);\n",
        "\n",
        "    root.data(\"scale\", scale);\n",
        "    root.data(\"tx\", tx);\n",
        "    root.data(\"ty\", ty);\n",
        "};\n",
        "\n",
        "\n",
        "var scale_centered_translation = function(root, scale) {\n",
        "    var bounds = root.plotbounds();\n",
        "\n",
        "    var width = bounds.x1 - bounds.x0,\n",
        "        height = bounds.y1 - bounds.y0;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var scale0 = root.data(\"scale\");\n",
        "\n",
        "    // how off from center the current view is\n",
        "    var xoff = tx0 - (bounds.x0 * (1 - scale0) + (width * (1 - scale0)) / 2),\n",
        "        yoff = ty0 - (bounds.y0 * (1 - scale0) + (height * (1 - scale0)) / 2);\n",
        "\n",
        "    // rescale offsets\n",
        "    xoff = xoff * scale / scale0;\n",
        "    yoff = yoff * scale / scale0;\n",
        "\n",
        "    // adjust for the panel position being scaled\n",
        "    var x_edge_adjust = bounds.x0 * (1 - scale),\n",
        "        y_edge_adjust = bounds.y0 * (1 - scale);\n",
        "\n",
        "    return {\n",
        "        x: xoff + x_edge_adjust + (width - width * scale) / 2,\n",
        "        y: yoff + y_edge_adjust + (height - height * scale) / 2\n",
        "    };\n",
        "};\n",
        "\n",
        "\n",
        "// Initialize data for panning zooming if it isn't already.\n",
        "var init_pan_zoom = function(root) {\n",
        "    if (root.data(\"zoompan-ready\")) {\n",
        "        return;\n",
        "    }\n",
        "\n",
        "    // The non-scaling-stroke trick. Rather than try to correct for the\n",
        "    // stroke-width when zooming, we force it to a fixed value.\n",
        "    var px_per_mm = root.node.getCTM().a;\n",
        "\n",
        "    // Drag events report deltas in pixels, which we'd like to convert to\n",
        "    // millimeters.\n",
        "    root.data(\"px_per_mm\", px_per_mm);\n",
        "\n",
        "    root.selectAll(\"path\")\n",
        "        .forEach(function (element, i) {\n",
        "        sw = element.asPX(\"stroke-width\") * px_per_mm;\n",
        "        if (sw > 0) {\n",
        "            element.attribute(\"stroke-width\", sw);\n",
        "            element.attribute(\"vector-effect\", \"non-scaling-stroke\");\n",
        "        }\n",
        "    });\n",
        "\n",
        "    // Store ticks labels original tranformation\n",
        "    root.selectAll(\".xlabels > text, .ylabels > text\")\n",
        "        .forEach(function (element, i) {\n",
        "            var lm = element.transform().localMatrix;\n",
        "            element.data(\"static_transform\",\n",
        "                new Snap.Matrix(lm.a, lm.b, lm.c, lm.d, lm.e, lm.f));\n",
        "        });\n",
        "\n",
        "    var xgridlines = root.select(\".xgridlines\");\n",
        "    var ygridlines = root.select(\".ygridlines\");\n",
        "    var xlabels = root.select(\".xlabels\");\n",
        "    var ylabels = root.select(\".ylabels\");\n",
        "\n",
        "    if (root.data(\"tx\") === undefined) root.data(\"tx\", 0);\n",
        "    if (root.data(\"ty\") === undefined) root.data(\"ty\", 0);\n",
        "    if (root.data(\"scale\") === undefined) root.data(\"scale\", 1.0);\n",
        "    if (root.data(\"xtickscales\") === undefined) {\n",
        "\n",
        "        // index all the tick scales that are listed\n",
        "        var xtickscales = {};\n",
        "        var ytickscales = {};\n",
        "        var add_x_tick_scales = function (element, i) {\n",
        "            xtickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "        var add_y_tick_scales = function (element, i) {\n",
        "            ytickscales[element.attribute(\"gadfly:scale\")] = true;\n",
        "        };\n",
        "\n",
        "        if (xgridlines) xgridlines.selectAll(\"path\").forEach(add_x_tick_scales);\n",
        "        if (ygridlines) ygridlines.selectAll(\"path\").forEach(add_y_tick_scales);\n",
        "        if (xlabels) xlabels.selectAll(\"text\").forEach(add_x_tick_scales);\n",
        "        if (ylabels) ylabels.selectAll(\"text\").forEach(add_y_tick_scales);\n",
        "\n",
        "        root.data(\"xtickscales\", xtickscales);\n",
        "        root.data(\"ytickscales\", ytickscales);\n",
        "        root.data(\"xtickscale\", 1.0);\n",
        "    }\n",
        "\n",
        "    var min_scale = 1.0, max_scale = 1.0;\n",
        "    for (scale in xtickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    for (scale in ytickscales) {\n",
        "        min_scale = Math.min(min_scale, scale);\n",
        "        max_scale = Math.max(max_scale, scale);\n",
        "    }\n",
        "    root.data(\"min_scale\", min_scale);\n",
        "    root.data(\"max_scale\", max_scale);\n",
        "\n",
        "    // store the original positions of labels\n",
        "    if (xlabels) {\n",
        "        xlabels.selectAll(\"text\")\n",
        "               .forEach(function (element, i) {\n",
        "                   element.data(\"x\", element.asPX(\"x\"));\n",
        "               });\n",
        "    }\n",
        "\n",
        "    if (ylabels) {\n",
        "        ylabels.selectAll(\"text\")\n",
        "               .forEach(function (element, i) {\n",
        "                   element.data(\"y\", element.asPX(\"y\"));\n",
        "               });\n",
        "    }\n",
        "\n",
        "    // mark grid lines and ticks as in or out of scale.\n",
        "    var mark_inscale = function (element, i) {\n",
        "        element.attribute(\"gadfly:inscale\", element.attribute(\"gadfly:scale\") == 1.0);\n",
        "    };\n",
        "\n",
        "    if (xgridlines) xgridlines.selectAll(\"path\").forEach(mark_inscale);\n",
        "    if (ygridlines) ygridlines.selectAll(\"path\").forEach(mark_inscale);\n",
        "    if (xlabels) xlabels.selectAll(\"text\").forEach(mark_inscale);\n",
        "    if (ylabels) ylabels.selectAll(\"text\").forEach(mark_inscale);\n",
        "\n",
        "    // figure out the upper ond lower bounds on panning using the maximum\n",
        "    // and minum grid lines\n",
        "    var bounds = root.plotbounds();\n",
        "    var pan_bounds = {\n",
        "        x0: 0.0,\n",
        "        y0: 0.0,\n",
        "        x1: 0.0,\n",
        "        y1: 0.0\n",
        "    };\n",
        "\n",
        "    if (xgridlines) {\n",
        "        xgridlines\n",
        "            .selectAll(\"path\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var bbox = element.node.getBBox();\n",
        "                    if (bounds.x1 - bbox.x < pan_bounds.x0) {\n",
        "                        pan_bounds.x0 = bounds.x1 - bbox.x;\n",
        "                    }\n",
        "                    if (bounds.x0 - bbox.x > pan_bounds.x1) {\n",
        "                        pan_bounds.x1 = bounds.x0 - bbox.x;\n",
        "                    }\n",
        "                    element.attr(\"visibility\", \"visible\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    if (ygridlines) {\n",
        "        ygridlines\n",
        "            .selectAll(\"path\")\n",
        "            .forEach(function (element, i) {\n",
        "                if (element.attribute(\"gadfly:inscale\") == \"true\") {\n",
        "                    var bbox = element.node.getBBox();\n",
        "                    if (bounds.y1 - bbox.y < pan_bounds.y0) {\n",
        "                        pan_bounds.y0 = bounds.y1 - bbox.y;\n",
        "                    }\n",
        "                    if (bounds.y0 - bbox.y > pan_bounds.y1) {\n",
        "                        pan_bounds.y1 = bounds.y0 - bbox.y;\n",
        "                    }\n",
        "                    element.attr(\"visibility\", \"visible\");\n",
        "                }\n",
        "            });\n",
        "    }\n",
        "\n",
        "    // nudge these values a little\n",
        "    pan_bounds.x0 -= 5;\n",
        "    pan_bounds.x1 += 5;\n",
        "    pan_bounds.y0 -= 5;\n",
        "    pan_bounds.y1 += 5;\n",
        "    root.data(\"pan_bounds\", pan_bounds);\n",
        "\n",
        "    root.data(\"zoompan-ready\", true)\n",
        "};\n",
        "\n",
        "\n",
        "// Panning\n",
        "Gadfly.guide_background_drag_onmove = function(dx, dy, x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var tx0 = root.data(\"tx\"),\n",
        "        ty0 = root.data(\"ty\");\n",
        "\n",
        "    var dx0 = root.data(\"dx\"),\n",
        "        dy0 = root.data(\"dy\");\n",
        "\n",
        "    root.data(\"dx\", dx);\n",
        "    root.data(\"dy\", dy);\n",
        "\n",
        "    dx = dx - dx0;\n",
        "    dy = dy - dy0;\n",
        "\n",
        "    var tx = tx0 + dx,\n",
        "        ty = ty0 + dy;\n",
        "\n",
        "    set_plot_pan_zoom(root, tx, ty, root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onstart = function(x, y, event) {\n",
        "    var root = this.plotroot();\n",
        "    root.data(\"dx\", 0);\n",
        "    root.data(\"dy\", 0);\n",
        "    init_pan_zoom(root);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_drag_onend = function(event) {\n",
        "    var root = this.plotroot();\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.guide_background_scroll = function(event) {\n",
        "    if (event.shiftKey) {\n",
        "        var root = this.plotroot();\n",
        "        init_pan_zoom(root);\n",
        "        var new_scale = root.data(\"scale\") * Math.pow(2, 0.002 * event.wheelDelta);\n",
        "        new_scale = Math.max(\n",
        "            root.data(\"min_scale\"),\n",
        "            Math.min(root.data(\"max_scale\"), new_scale))\n",
        "        update_plot_scale(root, new_scale);\n",
        "        event.stopPropagation();\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseover = function(event) {\n",
        "    this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_button_mouseout = function(event) {\n",
        "     this.select(\".button_logo\")\n",
        "         .animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomout_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var min_scale = root.data(\"min_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.max(min_scale, scale / 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_zoomin_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "    var max_scale = root.data(\"max_scale\"),\n",
        "        scale = root.data(\"scale\");\n",
        "\n",
        "    Snap.animate(\n",
        "        scale,\n",
        "        Math.min(max_scale, scale * 1.5),\n",
        "        function (new_scale) {\n",
        "            update_plot_scale(root, new_scale);\n",
        "        },\n",
        "        200);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_track_click = function(event) {\n",
        "    // TODO\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mousedown = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseover_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_mouseup = function(event) {\n",
        "    this.animate({fill: this.data(\"mouseout_color\")}, 100);\n",
        "};\n",
        "\n",
        "\n",
        "// compute the position in [0, 1] of the zoom slider thumb from the current scale\n",
        "var slider_position_from_scale = function(scale, min_scale, max_scale) {\n",
        "    if (scale >= 1.0) {\n",
        "        return 0.5 + 0.5 * (Math.log(scale) / Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        return 0.5 * (Math.log(scale) - Math.log(min_scale)) / (0 - Math.log(min_scale));\n",
        "    }\n",
        "}\n",
        "\n",
        "\n",
        "var update_plot_scale = function(root, new_scale) {\n",
        "    var trans = scale_centered_translation(root, new_scale);\n",
        "    set_plot_pan_zoom(root, trans.x, trans.y, new_scale);\n",
        "\n",
        "    root.selectAll(\".zoomslider_thumb\")\n",
        "        .forEach(function (element, i) {\n",
        "            var min_pos = element.data(\"min_pos\"),\n",
        "                max_pos = element.data(\"max_pos\"),\n",
        "                min_scale = root.data(\"min_scale\"),\n",
        "                max_scale = root.data(\"max_scale\");\n",
        "            var xmid = (min_pos + max_pos) / 2;\n",
        "            var xpos = slider_position_from_scale(new_scale, min_scale, max_scale);\n",
        "            element.transform(new Snap.Matrix().translate(\n",
        "                Math.max(min_pos, Math.min(\n",
        "                         max_pos, min_pos + (max_pos - min_pos) * xpos)) - xmid, 0));\n",
        "    });\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragmove = function(dx, dy, x, y) {\n",
        "    var root = this.plotroot();\n",
        "    var min_pos = this.data(\"min_pos\"),\n",
        "        max_pos = this.data(\"max_pos\"),\n",
        "        min_scale = root.data(\"min_scale\"),\n",
        "        max_scale = root.data(\"max_scale\"),\n",
        "        old_scale = root.data(\"old_scale\");\n",
        "\n",
        "    var px_per_mm = root.data(\"px_per_mm\");\n",
        "    dx /= px_per_mm;\n",
        "    dy /= px_per_mm;\n",
        "\n",
        "    var xmid = (min_pos + max_pos) / 2;\n",
        "    var xpos = slider_position_from_scale(old_scale, min_scale, max_scale) +\n",
        "                   dx / (max_pos - min_pos);\n",
        "\n",
        "    // compute the new scale\n",
        "    var new_scale;\n",
        "    if (xpos >= 0.5) {\n",
        "        new_scale = Math.exp(2.0 * (xpos - 0.5) * Math.log(max_scale));\n",
        "    }\n",
        "    else {\n",
        "        new_scale = Math.exp(2.0 * xpos * (0 - Math.log(min_scale)) +\n",
        "                        Math.log(min_scale));\n",
        "    }\n",
        "    new_scale = Math.min(max_scale, Math.max(min_scale, new_scale));\n",
        "\n",
        "    update_plot_scale(root, new_scale);\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragstart = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    init_pan_zoom(root);\n",
        "\n",
        "    // keep track of what the scale was when we started dragging\n",
        "    root.data(\"old_scale\", root.data(\"scale\"));\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.zoomslider_thumb_dragend = function(event) {\n",
        "};\n",
        "\n",
        "\n",
        "var toggle_color_class = function(root, color_class, ison) {\n",
        "    var guides = root.selectAll(\".guide.\" + color_class + \",.guide .\" + color_class);\n",
        "    var geoms = root.selectAll(\".geometry.\" + color_class + \",.geometry .\" + color_class);\n",
        "    if (ison) {\n",
        "        guides.animate({opacity: 0.5}, 250);\n",
        "        geoms.animate({opacity: 0.0}, 250);\n",
        "    } else {\n",
        "        guides.animate({opacity: 1.0}, 250);\n",
        "        geoms.animate({opacity: 1.0}, 250);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "Gadfly.colorkey_swatch_click = function(event) {\n",
        "    var root = this.plotroot();\n",
        "    var color_class = this.data(\"color_class\");\n",
        "\n",
        "    if (event.shiftKey) {\n",
        "        root.selectAll(\".colorkey text\")\n",
        "            .forEach(function (element) {\n",
        "                var other_color_class = element.data(\"color_class\");\n",
        "                if (other_color_class != color_class) {\n",
        "                    toggle_color_class(root, other_color_class,\n",
        "                                       element.attr(\"opacity\") == 1.0);\n",
        "                }\n",
        "            });\n",
        "    } else {\n",
        "        toggle_color_class(root, color_class, this.attr(\"opacity\") == 1.0);\n",
        "    }\n",
        "};\n",
        "\n",
        "\n",
        "return Gadfly;\n",
        "\n",
        "}));\n",
        "\n",
        "\n",
        "//@ sourceURL=gadfly.js\n",
        "\n",
        "(function (glob, factory) {\n",
        "    // AMD support\n",
        "      if (typeof require === \"function\" && typeof define === \"function\" && define.amd) {\n",
        "        require([\"Snap.svg\", \"Gadfly\"], function (Snap, Gadfly) {\n",
        "            factory(Snap, Gadfly);\n",
        "        });\n",
        "      } else {\n",
        "          factory(glob.Snap, glob.Gadfly);\n",
        "      }\n",
        "})(window, function (Snap, Gadfly) {\n",
        "    var fig = Snap(\"#fig-3c2b13d384cf403da99655a85761b6ed\");\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-5\")\n",
        "   .mouseenter(Gadfly.plot_mouseover)\n",
        ".mouseleave(Gadfly.plot_mouseout)\n",
        ".mousewheel(Gadfly.guide_background_scroll)\n",
        ".drag(Gadfly.guide_background_drag_onmove,\n",
        "      Gadfly.guide_background_drag_onstart,\n",
        "      Gadfly.guide_background_drag_onend)\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-8\")\n",
        "   .plotroot().data(\"unfocused_ygrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-8\")\n",
        "   .plotroot().data(\"focused_ygrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-9\")\n",
        "   .plotroot().data(\"unfocused_xgrid_color\", \"#D0D0E0\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-9\")\n",
        "   .plotroot().data(\"focused_xgrid_color\", \"#A0A0A0\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-14\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-14\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-14\")\n",
        "   .click(Gadfly.zoomslider_zoomin_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-16\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-16\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-16\")\n",
        "   .click(Gadfly.zoomslider_track_click);\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-17\")\n",
        "   .data(\"max_pos\", 120.42)\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-17\")\n",
        "   .data(\"min_pos\", 103.42)\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-17\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-17\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-17\")\n",
        "   .drag(Gadfly.zoomslider_thumb_dragmove,\n",
        "     Gadfly.zoomslider_thumb_dragstart,\n",
        "     Gadfly.zoomslider_thumb_dragend)\n",
        ".mousedown(Gadfly.zoomslider_thumb_mousedown)\n",
        ".mouseup(Gadfly.zoomslider_thumb_mouseup)\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-18\")\n",
        "   .data(\"mouseover_color\", \"#cd5c5c\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-18\")\n",
        "   .data(\"mouseout_color\", \"#6a6a6a\")\n",
        ";\n",
        "fig.select(\"#fig-3c2b13d384cf403da99655a85761b6ed-element-18\")\n",
        "   .click(Gadfly.zoomslider_zoomout_click)\n",
        ".mouseenter(Gadfly.zoomslider_button_mouseover)\n",
        ".mouseleave(Gadfly.zoomslider_button_mouseout)\n",
        ";\n",
        "    });\n",
        "]]> </script>\n",
        "</svg>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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        "</svg>\n"
       ],
       "text": [
        "Plot(...)"
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      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "GeoInterface.coordinates(polygon)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "1-element Array{Array{Array{Float64,1},1},1}:\n",
        " [[-0.353553,0.353553],[0.646447,1.35355],[0.722215,1.41573],[0.808658,1.46194],[0.902455,1.49039],[1.0,1.5],[1.09755,1.49039],[1.19134,1.46194],[1.27779,1.41573],[1.35355,1.35355]  \u2026  [-0.277785,-0.415735],[-0.353553,-0.353553],[-0.415735,-0.277785],[-0.46194,-0.191342],[-0.490393,-0.0975452],[-0.5,-2.05963e-15],[-0.490393,0.0975452],[-0.46194,0.191342],[-0.415735,0.277785],[-0.353553,0.353553]]"
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     "prompt_number": 10
    }
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   "metadata": {}
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}